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You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCOC(=O)[C@H](CCc1ccccc1)[NH2+][C@@H](C)C(=O)N2[C@H]3CCC[C@H]3C[C@H]2C(=O)[O-] Clinical Trial Toxicity:
<boolean>Yes
CCOC(=O)[C@H](CCc1ccccc1)[NH2+][C@@H](C)C(=O)N2[C@H]3CCC[C@H]3C[C@H]2C(=O)[O-]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC(=O)O[C@H]1[C@H](C[C@@H]2[C@@]1(CC[C@H]3[C@H]2CC[C@@H]4[C@@]3(C[C@@H]([C@H](C4)O)[NH+]5CCOCC5)C)C)[N+]6(CCCC6)CC=C Clinical Trial Toxicity:
<boolean>Yes
CC(=O)O[C@H]1[C@H](C[C@@H]2[C@@]1(CC[C@H]3[C@H]2CC[C@@H]4[C@@]3(C[C@@H]([C@H](C4)O)[NH+]5CCOCC5)C)C)[N+]6(CCCC6)CC=C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1cc(oc1)CNc2cc(c(cc2C(=O)[O-])S(=O)(=O)N)Cl Clinical Trial Toxicity:
<boolean>Yes
c1cc(oc1)CNc2cc(c(cc2C(=O)[O-])S(=O)(=O)N)Cl
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC(C)(C)c1ccc(cc1)S(=O)(=O)[N-]c2c(c(nc(n2)c3ncccn3)OCCO)Oc4ccccc4OC Clinical Trial Toxicity:
<boolean>Yes
CC(C)(C)c1ccc(cc1)S(=O)(=O)[N-]c2c(c(nc(n2)c3ncccn3)OCCO)Oc4ccccc4OC
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@H](/C=C/[C@H](C)C(C)C)[C@H]1CC[C@@H]\2[C@@]1(CCC/C2=C\C=C/3\C[C@H](CCC3=C)O)C Clinical Trial Toxicity:
<boolean>Yes
C[C@H](/C=C/[C@H](C)C(C)C)[C@H]1CC[C@@H]\2[C@@]1(CCC/C2=C\C=C/3\C[C@H](CCC3=C)O)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1ccnc(c1)[N-]S(=O)(=O)c2ccc(cc2)N Clinical Trial Toxicity:
<boolean>Yes
c1ccnc(c1)[N-]S(=O)(=O)c2ccc(cc2)N
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): COc1c2c(ccc(=O)o2)cc3c1occ3 Clinical Trial Toxicity:
<boolean>Yes
COc1c2c(ccc(=O)o2)cc3c1occ3
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): Cc1c(ccnc1C[S@@](=O)c2[nH]c3ccccc3n2)OCC(F)(F)F Clinical Trial Toxicity:
<boolean>Yes
Cc1c(ccnc1C[S@@](=O)c2[nH]c3ccccc3n2)OCC(F)(F)F
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCCCC(CC)COC(=O)C(=C(c1ccccc1)c2ccccc2)C#N Clinical Trial Toxicity:
<boolean>Yes
CCCCC(CC)COC(=O)C(=C(c1ccccc1)c2ccccc2)C#N
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1ccc2c(c1)C=Cc3ccccc3N2C(=O)N Clinical Trial Toxicity:
<boolean>Yes
c1ccc2c(c1)C=Cc3ccccc3N2C(=O)N
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@H]1C[C@@H]2[C@H](CC[C@]3([C@H]2CC[C@@]3(C(=O)C)OC(=O)C)C)[C@@]4(C1=CC(=O)CC4)C Clinical Trial Toxicity:
<boolean>Yes
C[C@H]1C[C@@H]2[C@H](CC[C@]3([C@H]2CC[C@@]3(C(=O)C)OC(=O)C)C)[C@@]4(C1=CC(=O)CC4)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC12CCC3C(C1CCC2C(=O)COC(=O)C(C)(C)C)CCC4=CC(=O)CCC34C Clinical Trial Toxicity:
<boolean>Yes
CC12CCC3C(C1CCC2C(=O)COC(=O)C(C)(C)C)CCC4=CC(=O)CCC34C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC1([C@@H](N2[C@H](S1)[C@@H](C2=O)NC(=O)C(c3ccccc3)C(=O)[O-])C(=O)[O-])C Clinical Trial Toxicity:
<boolean>Yes
CC1([C@@H](N2[C@H](S1)[C@@H](C2=O)NC(=O)C(c3ccccc3)C(=O)[O-])C(=O)[O-])C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC[C@@]1(c2cc-3n(c(=O)c2COC1=O)Cc4c3nc5ccc(c(c5c4)C[NH+](C)C)O)O Clinical Trial Toxicity:
<boolean>Yes
CC[C@@]1(c2cc-3n(c(=O)c2COC1=O)Cc4c3nc5ccc(c(c5c4)C[NH+](C)C)O)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC#CCn1c2c(nc1N3CCC[C@H](C3)[NH3+])n(c(=O)n(c2=O)Cc4nc(c5ccccc5n4)C)C Clinical Trial Toxicity:
<boolean>Yes
CC#CCn1c2c(nc1N3CCC[C@H](C3)[NH3+])n(c(=O)n(c2=O)Cc4nc(c5ccccc5n4)C)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): COc1c2c(cc(c1N3C[C@@H]4CCC[NH2+][C@@H]4C3)F)c(=O)c(cn2C5CC5)C(=O)[O-] Clinical Trial Toxicity:
<boolean>Yes
COc1c2c(cc(c1N3C[C@@H]4CCC[NH2+][C@@H]4C3)F)c(=O)c(cn2C5CC5)C(=O)[O-]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC(C)c1c(c(nc(n1)N(C)S(=O)(=O)C)c2ccc(cc2)F)/C=C/[C@H](C[C@H](CC(=O)[O-])O)O Clinical Trial Toxicity:
<boolean>Yes
CC(C)c1c(c(nc(n1)N(C)S(=O)(=O)C)c2ccc(cc2)F)/C=C/[C@H](C[C@H](CC(=O)[O-])O)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCCCCC(=O)O[C@@]1(CC[C@@H]2[C@@]1(CC[C@H]3[C@H]2CCC4=CC(=O)CC[C@]34C)C)C(=O)C Clinical Trial Toxicity:
<boolean>Yes
CCCCCC(=O)O[C@@]1(CC[C@@H]2[C@@]1(CC[C@H]3[C@H]2CCC4=CC(=O)CC[C@]34C)C)C(=O)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCC[NH+](CC)C(CC)C(=O)Nc1c(cccc1C)C Clinical Trial Toxicity:
<boolean>Yes
CCC[NH+](CC)C(CC)C(=O)Nc1c(cccc1C)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC(=O)O[C@H]1C[C@@H]2CC[C@@H]3[C@@H]([C@]2(C[C@@H]1[NH+]4CCCCC4)C)CC[C@]5([C@H]3C[C@@H]([C@@H]5OC(=O)C)[N+]6(CCCCC6)C)C Clinical Trial Toxicity:
<boolean>Yes
CC(=O)O[C@H]1C[C@@H]2CC[C@@H]3[C@@H]([C@]2(C[C@@H]1[NH+]4CCCCC4)C)CC[C@]5([C@H]3C[C@@H]([C@@H]5OC(=O)C)[N+]6(CCCCC6)C)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC(C)[NH2+]CC1CCc2cc(c(cc2N1)[N+](=O)[O-])CO Clinical Trial Toxicity:
<boolean>Yes
CC(C)[NH2+]CC1CCc2cc(c(cc2N1)[N+](=O)[O-])CO
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC1([C@@H](N2[C@H](S1)[C@@H](C2=O)NC(=O)[C@@H](c3ccc(cc3)O)[NH3+])C(=O)[O-])C Clinical Trial Toxicity:
<boolean>Yes
CC1([C@@H](N2[C@H](S1)[C@@H](C2=O)NC(=O)[C@@H](c3ccc(cc3)O)[NH3+])C(=O)[O-])C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC12CCC3C(C1CCC2C(=O)COC(=O)C(C)(C)C)CCC4=CC(=O)CCC34C Clinical Trial Toxicity:
<boolean>Yes
CC12CCC3C(C1CCC2C(=O)COC(=O)C(C)(C)C)CCC4=CC(=O)CCC34C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCC(=O)O[C@@]1([C@H](C[C@@H]2[C@@]1(C[C@@H]([C@]3([C@H]2CCC4=CC(=O)C=C[C@@]43C)F)O)C)C)C(=O)CCl Clinical Trial Toxicity:
<boolean>Yes
CCC(=O)O[C@@]1([C@H](C[C@@H]2[C@@]1(C[C@@H]([C@]3([C@H]2CCC4=CC(=O)C=C[C@@]43C)F)O)C)C)C(=O)CCl
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1ccc2c(c1)C=Cc3ccccc3N2C(=O)N Clinical Trial Toxicity:
<boolean>Yes
c1ccc2c(c1)C=Cc3ccccc3N2C(=O)N
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1ccc(cc1)OC(=O)c2ccc(cc2O)N Clinical Trial Toxicity:
<boolean>Yes
c1ccc(cc1)OC(=O)c2ccc(cc2O)N
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCCCC(=O)N(Cc1ccc(cc1)c2ccccc2c3[n-]nnn3)[C@@H](C(C)C)C(=O)[O-] Clinical Trial Toxicity:
<boolean>Yes
CCCCC(=O)N(Cc1ccc(cc1)c2ccccc2c3[n-]nnn3)[C@@H](C(C)C)C(=O)[O-]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1cc(c(c(c1)Cl)Cl)N2CC[NH+](CC2)CCCCOc3ccc4c(c3)NC(=O)CC4 Clinical Trial Toxicity:
<boolean>Yes
c1cc(c(c(c1)Cl)Cl)N2CC[NH+](CC2)CCCCOc3ccc4c(c3)NC(=O)CC4
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C1=CN(C(=O)N=C1N)[C@H]2C([C@@H]([C@H](O2)CO)O)(F)F.Cl Clinical Trial Toxicity:
No</boolean>
C1=CN(C(=O)N=C1N)[C@H]2C([C@@H]([C@H](O2)CO)O)(F)F.Cl
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCOC(=O)Nc1ccc2c(c1)N(c3ccccc3S2)C(=O)CC[NH+]4CCOCC4 Clinical Trial Toxicity:
<boolean>Yes
CCOC(=O)Nc1ccc2c(c1)N(c3ccccc3S2)C(=O)CC[NH+]4CCOCC4
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCC(=O)NCC[C@@H]1CCc2c1c3c(cc2)OCC3 Clinical Trial Toxicity:
<boolean>Yes
CCC(=O)NCC[C@@H]1CCc2c1c3c(cc2)OCC3
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC(Cc1ccc(cc1)OC)[NH2+]CC(c2ccc(c(c2)NC=O)O)O Clinical Trial Toxicity:
<boolean>Yes
CC(Cc1ccc(cc1)OC)[NH2+]CC(c2ccc(c(c2)NC=O)O)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC(C)[NH2+]C[C@@H](COc1ccc(cc1)CCOCC2CC2)O Clinical Trial Toxicity:
<boolean>Yes
CC(C)[NH2+]C[C@@H](COc1ccc(cc1)CCOCC2CC2)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC/C(=C(/CC)\c1ccc(cc1)O)/c2ccc(cc2)O Clinical Trial Toxicity:
<boolean>Yes
CC/C(=C(/CC)\c1ccc(cc1)O)/c2ccc(cc2)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[N+](C)(CCCCCC[N+](C)(C)C1c2ccccc2-c3c1cccc3)C4c5ccccc5-c6c4cccc6 Clinical Trial Toxicity:
<boolean>Yes
C[N+](C)(CCCCCC[N+](C)(C)C1c2ccccc2-c3c1cccc3)C4c5ccccc5-c6c4cccc6
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): COCCO Clinical Trial Toxicity:
<boolean>Yes
COCCO
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCCC(=O)O[C@@]1(CC[C@@H]2[C@@]1(C[C@@H]([C@H]3[C@H]2CCC4=CC(=O)CC[C@]34C)O)C)C(=O)CO Clinical Trial Toxicity:
<boolean>Yes
CCCC(=O)O[C@@]1(CC[C@@H]2[C@@]1(C[C@@H]([C@H]3[C@H]2CCC4=CC(=O)CC[C@]34C)O)C)C(=O)CO
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC[C@@]1(c2cc-3n(c(=O)c2COC1=O)Cc4c3nc5ccc(c(c5c4)C[NH+](C)C)O)O Clinical Trial Toxicity:
<boolean>Yes
CC[C@@]1(c2cc-3n(c(=O)c2COC1=O)Cc4c3nc5ccc(c(c5c4)C[NH+](C)C)O)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C1CC2(C1)C(=O)O[Pt]OC2=O Clinical Trial Toxicity:
<boolean>Yes
C1CC2(C1)C(=O)O[Pt]OC2=O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C1CNCC[NH2+]1 Clinical Trial Toxicity:
<boolean>Yes
C1CNCC[NH2+]1
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CS(=O)(=O)c1ccc(cc1)C2=C(C(=O)OC2)c3ccccc3 Clinical Trial Toxicity:
<boolean>Yes
CS(=O)(=O)c1ccc(cc1)C2=C(C(=O)OC2)c3ccccc3
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1ccc2c(c1)N(c3cc(ccc3S2)Cl)CCCN4CC[NH+](CC4)CCO Clinical Trial Toxicity:
<boolean>Yes
c1ccc2c(c1)N(c3cc(ccc3S2)Cl)CCCN4CC[NH+](CC4)CCO
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1cc(ccc1C(=O)NCCC(=O)[O-])N/N=C\2/C=CC(=O)C(=C2)C(=O)[O-] Clinical Trial Toxicity:
<boolean>Yes
c1cc(ccc1C(=O)NCCC(=O)[O-])N/N=C\2/C=CC(=O)C(=C2)C(=O)[O-]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): Cc1c(c(c(c(c1C(=O)[O-])I)NC(=O)C)I)C(=O)NC Clinical Trial Toxicity:
<boolean>Yes
Cc1c(c(c(c(c1C(=O)[O-])I)NC(=O)C)I)C(=O)NC
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@H](CCCC(C)C)[C@H]1CC[C@@H]\2[C@@]1(CCC/C2=C\C=C/3\C[C@H](CCC3=C)O)C Clinical Trial Toxicity:
<boolean>Yes
C[C@H](CCCC(C)C)[C@H]1CC[C@@H]\2[C@@]1(CCC/C2=C\C=C/3\C[C@H](CCC3=C)O)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[NH+]1CCCCC1CCN2c3ccccc3Sc4c2cc(cc4)S(=O)C Clinical Trial Toxicity:
<boolean>Yes
C[NH+]1CCCCC1CCN2c3ccccc3Sc4c2cc(cc4)S(=O)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C1[C@H]([C@@H]([C@H]([C@@H]([C@H]1[NH3+])O[C@@H]2[C@@H]([C@H]([C@@H]([C@H](O2)C[NH3+])O)O)[NH3+])O[C@H]3[C@@H]([C@@H]([C@H](O3)CO)O[C@@H]4[C@@H]([C@H]([C@@H]([C@@H](O4)C[NH3+])O)O)[NH3+])O)O)[NH3+] Clinical Trial Toxicity:
<boolean>Yes
C1[C@H]([C@@H]([C@H]([C@@H]([C@H]1[NH3+])O[C@@H]2[C@@H]([C@H]([C@@H]([C@H](O2)C[NH3+])O)O)[NH3+])O[C@H]3[C@@H]([C@@H]([C@H](O3)CO)O[C@@H]4[C@@H]([C@H]([C@@H]([C@@H](O4)C[NH3+])O)O)[NH3+])O)O)[NH3+]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCC(=O)O[C@H]1CC[C@@H]2[C@@]1(CC[C@H]3[C@H]2CC[C@@H]4[C@@]3(C[C@H](C(=O)C4)C)C)C Clinical Trial Toxicity:
<boolean>Yes
CCC(=O)O[C@H]1CC[C@@H]2[C@@]1(CC[C@H]3[C@H]2CC[C@@H]4[C@@]3(C[C@H](C(=O)C4)C)C)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C1=CC(=C(C=C1Cl)Cl)C(=O)NS(=O)(=O)C2=CC=C(S2)Br Clinical Trial Toxicity:
No</boolean>
C1=CC(=C(C=C1Cl)Cl)C(=O)NS(=O)(=O)C2=CC=C(S2)Br
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCCCc1[nH+]cc(n1Cc2ccc(cc2)C(=O)[O-])/C=C(\Cc3cccs3)/C(=O)[O-] Clinical Trial Toxicity:
<boolean>Yes
CCCCc1[nH+]cc(n1Cc2ccc(cc2)C(=O)[O-])/C=C(\Cc3cccs3)/C(=O)[O-]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@@H]1C[C@@H]([C@H]([C@@H](O1)O[C@H]2[C@H](C[C@@]3(CO3)C(=O)[C@@H]([C@H]([C@H]([C@H](OC(=O)[C@@H]([C@H]([C@@H]2C)O[C@H]4C[C@@H]([C@H]([C@@H](O4)C)OC(=O)C)OC)C)C)C)OC(=O)C)C)C)OC(=O)C)[NH+](C)C Clinical Trial Toxicity:
<boolean>Yes
C[C@@H]1C[C@@H]([C@H]([C@@H](O1)O[C@H]2[C@H](C[C@@]3(CO3)C(=O)[C@@H]([C@H]([C@H]([C@H](OC(=O)[C@@H]([C@H]([C@@H]2C)O[C@H]4C[C@@H]([C@H]([C@@H](O4)C)OC(=O)C)OC)C)C)C)OC(=O)C)C)C)OC(=O)C)[NH+](C)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCCCc1c(c2cc(ccc2o1)NS(=O)(=O)C)C(=O)c3ccc(cc3)OCCC[NH+](CCCC)CCCC Clinical Trial Toxicity:
<boolean>Yes
CCCCc1c(c2cc(ccc2o1)NS(=O)(=O)C)C(=O)c3ccc(cc3)OCCC[NH+](CCCC)CCCC
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@H]1CCC=C([C@]12CC[C@H](C2)C(=C)C)C Clinical Trial Toxicity:
<boolean>Yes
C[C@H]1CCC=C([C@]12CC[C@H](C2)C(=C)C)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): Cc1ccc(cc1)S(=O)(=O)[N-]C(=O)N[NH+]2CCCCCC2 Clinical Trial Toxicity:
<boolean>Yes
Cc1ccc(cc1)S(=O)(=O)[N-]C(=O)N[NH+]2CCCCCC2
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): Cc1nnc(o1)C(=O)NC(C)(C)c2nc(c(c(=O)n2C)[O-])C(=O)NCc3ccc(cc3)F Clinical Trial Toxicity:
<boolean>Yes
Cc1nnc(o1)C(=O)NC(C)(C)c2nc(c(c(=O)n2C)[O-])C(=O)NCc3ccc(cc3)F
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCOCCn1c2ccccc2nc1N3CCC[NH+](CC3)C Clinical Trial Toxicity:
<boolean>Yes
CCOCCn1c2ccccc2nc1N3CCC[NH+](CC3)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C([C@@H]1[C@@H]([C@@H]([C@H]([C@@H](O1)O[C@@H]2[C@H](O[C@@]([C@H]2O)(CO)O)CO)O)O)O)O Clinical Trial Toxicity:
<boolean>Yes
C([C@@H]1[C@@H]([C@@H]([C@H]([C@@H](O1)O[C@@H]2[C@H](O[C@@]([C@H]2O)(CO)O)CO)O)O)O)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1c2c(cc(c1Cl)S(=O)(=O)N)S(=O)(=O)NCN2 Clinical Trial Toxicity:
<boolean>Yes
c1c2c(cc(c1Cl)S(=O)(=O)N)S(=O)(=O)NCN2
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCCCCCC(C)(C)c1cc(c2c(c1)OC([C@H]3[C@H]2CC(=O)CC3)(C)C)O Clinical Trial Toxicity:
<boolean>Yes
CCCCCCC(C)(C)c1cc(c2c(c1)OC([C@H]3[C@H]2CC(=O)CC3)(C)C)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@]12CC[C@H]3[C@H]([C@@H]1CCC2=O)CC(=C)C4=CC(=O)C=C[C@]34C Clinical Trial Toxicity:
<boolean>Yes
C[C@]12CC[C@H]3[C@H]([C@@H]1CCC2=O)CC(=C)C4=CC(=O)C=C[C@]34C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCOC(=O)c1cncn1C(C)c2ccccc2 Clinical Trial Toxicity:
<boolean>Yes
CCOC(=O)c1cncn1C(C)c2ccccc2
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCCC(=O)O[C@@]1(CC[C@@H]2[C@@]1(C[C@@H]([C@H]3[C@H]2CCC4=CC(=O)CC[C@]34C)O)C)C(=O)CO Clinical Trial Toxicity:
<boolean>Yes
CCCC(=O)O[C@@]1(CC[C@@H]2[C@@]1(C[C@@H]([C@H]3[C@H]2CCC4=CC(=O)CC[C@]34C)O)C)C(=O)CO
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCC[NH2+]C(C)C(=O)Nc1ccccc1C Clinical Trial Toxicity:
<boolean>Yes
CCC[NH2+]C(C)C(=O)Nc1ccccc1C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1(c(nc(c(n1)Cl)N)N)C(=O)NC(=[NH2+])N Clinical Trial Toxicity:
<boolean>Yes
c1(c(nc(c(n1)Cl)N)N)C(=O)NC(=[NH2+])N
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): COc1ccc2c(c1)[nH]c3c2CC[NH+]4[C@@H]3C[C@H]5[C@@H](C4)C[C@H]([C@@H]([C@H]5C(=O)OC)OC)OC(=O)c6cc(c(c(c6)OC)OC)OC Clinical Trial Toxicity:
<boolean>Yes
COc1ccc2c(c1)[nH]c3c2CC[NH+]4[C@@H]3C[C@H]5[C@@H](C4)C[C@H]([C@@H]([C@H]5C(=O)OC)OC)OC(=O)c6cc(c(c(c6)OC)OC)OC
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1cc(oc1/C=N/N2CC(=O)NC2=O)[N+](=O)[O-] Clinical Trial Toxicity:
<boolean>Yes
c1cc(oc1/C=N/N2CC(=O)NC2=O)[N+](=O)[O-]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[n+]1cccc(c1)OC(=O)N(C)C Clinical Trial Toxicity:
<boolean>Yes
C[n+]1cccc(c1)OC(=O)N(C)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@H](C(=O)N)NC(=O)[C@@H]1CCCN1C(=O)[C@H](CCCC[NH2+]C(C)C)NC(=O)[C@H](CC(C)C)NC(=O)[C@@H](CC(=O)N)NC(=O)[C@H](Cc2ccc(cc2)O)N(C)C(=O)[C@H](CO)NC(=O)[C@@H](Cc3cccnc3)NC(=O)[C@@H](Cc4ccc(cc4)Cl)NC(=O)[C@@H](Cc5ccc6ccccc6c5)NC(=O)C Clinical Trial Toxicity:
<boolean>Yes
C[C@H](C(=O)N)NC(=O)[C@@H]1CCCN1C(=O)[C@H](CCCC[NH2+]C(C)C)NC(=O)[C@H](CC(C)C)NC(=O)[C@@H](CC(=O)N)NC(=O)[C@H](Cc2ccc(cc2)O)N(C)C(=O)[C@H](CO)NC(=O)[C@@H](Cc3cccnc3)NC(=O)[C@@H](Cc4ccc(cc4)Cl)NC(=O)[C@@H](Cc5ccc6ccccc6c5)NC(=O)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCc1c2cc(ccc2nc-3c1Cn4c3cc5c(c4=O)COC(=O)[C@@]5(CC)O)OC(=O)N6CCC(CC6)[NH+]7CCCCC7 Clinical Trial Toxicity:
<boolean>Yes
CCc1c2cc(ccc2nc-3c1Cn4c3cc5c(c4=O)COC(=O)[C@@]5(CC)O)OC(=O)N6CCC(CC6)[NH+]7CCCCC7
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C(C[NH3+])C(O)(P(=O)([O-])[O-])P(=O)([O-])[O-] Clinical Trial Toxicity:
<boolean>Yes
C(C[NH3+])C(O)(P(=O)([O-])[O-])P(=O)([O-])[O-]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCOC(=O)[C@H](CCc1ccccc1)[NH2+][C@@H](C)C(=O)N2CC3(C[C@H]2C(=O)[O-])SCCS3 Clinical Trial Toxicity:
<boolean>Yes
CCOC(=O)[C@H](CCc1ccccc1)[NH2+][C@@H](C)C(=O)N2CC3(C[C@H]2C(=O)[O-])SCCS3
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@]12C[C@@H]([C@]3([C@H]([C@@H]1C[C@@H]4[C@]2(OC(O4)(C)C)C(=O)CO)CCC5=CC(=O)C=C[C@@]53C)F)O Clinical Trial Toxicity:
<boolean>Yes
C[C@]12C[C@@H]([C@]3([C@H]([C@@H]1C[C@@H]4[C@]2(OC(O4)(C)C)C(=O)CO)CCC5=CC(=O)C=C[C@@]53C)F)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@H]1CCC=C([C@]12CC[C@H](C2)C(=C)C)C Clinical Trial Toxicity:
<boolean>Yes
C[C@H]1CCC=C([C@]12CC[C@H](C2)C(=C)C)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1ccc(c(c1)C2=NC(C(=O)Nc3c2cc(cc3)Cl)O)Cl Clinical Trial Toxicity:
<boolean>Yes
c1ccc(c(c1)C2=NC(C(=O)Nc3c2cc(cc3)Cl)O)Cl
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): Cc1ccc(cc1Nc2nccc(n2)c3cccnc3)C(=O)Nc4cc(cc(c4)n5cc(nc5)C)C(F)(F)F Clinical Trial Toxicity:
<boolean>Yes
Cc1ccc(cc1Nc2nccc(n2)c3cccnc3)C(=O)Nc4cc(cc(c4)n5cc(nc5)C)C(F)(F)F
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC(C)[C@@H](C(=O)OCC(CO)OCn1cnc2c1[nH]c(nc2=O)N)[NH3+] Clinical Trial Toxicity:
<boolean>Yes
CC(C)[C@@H](C(=O)OCC(CO)OCn1cnc2c1[nH]c(nc2=O)N)[NH3+]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC1=C(C(CCC1)(C)C)/C=C/C(=C\C=C\C(=C\C(=O)[O-])\C)/C Clinical Trial Toxicity:
<boolean>Yes
CC1=C(C(CCC1)(C)C)/C=C/C(=C\C=C\C(=C\C(=O)[O-])\C)/C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC1(C(=O)N(C(=O)N1)c2ccc(c(c2)C(F)(F)F)[N+](=O)[O-])C Clinical Trial Toxicity:
<boolean>Yes
CC1(C(=O)N(C(=O)N1)c2ccc(c(c2)C(F)(F)F)[N+](=O)[O-])C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC(C)NCC(COC1=CC=CC2=CC=CC=C21)O Clinical Trial Toxicity:
No</boolean>
CC(C)NCC(COC1=CC=CC2=CC=CC=C21)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@@H]([NH2+]CC(C[NH2+][C@@H](/C(=N/O)/C)C)(C)C)/C(=N/O)/C Clinical Trial Toxicity:
<boolean>Yes
C[C@@H]([NH2+]CC(C[NH2+][C@@H](/C(=N/O)/C)C)(C)C)/C(=N/O)/C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1ccc(cc1)C(CC[NH+]2CCCCC2)(C3CCCCC3)O Clinical Trial Toxicity:
<boolean>Yes
c1ccc(cc1)C(CC[NH+]2CCCCC2)(C3CCCCC3)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCN1CCN(C(=O)C1=O)C(=O)N[C@H](c2ccc(cc2)O)C(=O)N[C@H]3[C@@H]4N(C3=O)C(=C(CS4)CSc5nnnn5C)C(=O)[O-] Clinical Trial Toxicity:
<boolean>Yes
CCN1CCN(C(=O)C1=O)C(=O)N[C@H](c2ccc(cc2)O)C(=O)N[C@H]3[C@@H]4N(C3=O)C(=C(CS4)CSc5nnnn5C)C(=O)[O-]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@@H]1[C@@H]2[C@H](C(=O)N2C(=C1S[C@H]3C[C@H]([NH2+]C3)CNS(=O)(=O)N)C(=O)[O-])[C@@H](C)O Clinical Trial Toxicity:
<boolean>Yes
C[C@@H]1[C@@H]2[C@H](C(=O)N2C(=C1S[C@H]3C[C@H]([NH2+]C3)CNS(=O)(=O)N)C(=O)[O-])[C@@H](C)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): COC(=O)c1ccccc1O Clinical Trial Toxicity:
<boolean>Yes
COC(=O)c1ccccc1O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): Cc1ccc(c2c1oc-3c(c(=O)c(c(c3n2)C(=O)NC4C(OC(=O)C(N(C(=O)CN(C(=O)C5CCCN5C(=O)C(NC4=O)C(C)C)C)C)C(C)C)C)N)C)C(=O)NC6C(OC(=O)C(N(C(=O)CN(C(=O)C7CCCN7C(=O)C(NC6=O)C(C)C)C)C)C(C)C)C Clinical Trial Toxicity:
<boolean>Yes
Cc1ccc(c2c1oc-3c(c(=O)c(c(c3n2)C(=O)NC4C(OC(=O)C(N(C(=O)CN(C(=O)C5CCCN5C(=O)C(NC4=O)C(C)C)C)C)C(C)C)C)N)C)C(=O)NC6C(OC(=O)C(N(C(=O)CN(C(=O)C7CCCN7C(=O)C(NC6=O)C(C)C)C)C)C(C)C)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCCOc1ccc(cc1N)C(=O)OCC[NH+](CC)CC Clinical Trial Toxicity:
<boolean>Yes
CCCOc1ccc(cc1N)C(=O)OCC[NH+](CC)CC
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCCCOc1ccc(cc1)C(=O)CC[NH+]2CCCCC2 Clinical Trial Toxicity:
<boolean>Yes
CCCCOc1ccc(cc1)C(=O)CC[NH+]2CCCCC2
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@](Cc1ccc(cc1)O)(C(=O)[O-])[NH3+] Clinical Trial Toxicity:
<boolean>Yes
C[C@](Cc1ccc(cc1)O)(C(=O)[O-])[NH3+]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCCC1O[C@@H]2C[C@H]3[C@@H]4CCC5=CC(=O)C=C[C@@]5([C@H]4[C@H](C[C@@]3([C@@]2(O1)C(=O)CO)C)O)C Clinical Trial Toxicity:
<boolean>Yes
CCCC1O[C@@H]2C[C@H]3[C@@H]4CCC5=CC(=O)C=C[C@@]5([C@H]4[C@H](C[C@@]3([C@@]2(O1)C(=O)CO)C)O)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@]12CC[C@@H]3c4ccc(cc4C[C@H]([C@H]3[C@@H]1CC[C@@H]2O)CCCCCCCCCS(=O)CCCC(C(F)(F)F)(F)F)O Clinical Trial Toxicity:
<boolean>Yes
C[C@]12CC[C@@H]3c4ccc(cc4C[C@H]([C@H]3[C@@H]1CC[C@@H]2O)CCCCCCCCCS(=O)CCCC(C(F)(F)F)(F)F)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C[C@@H]1C/C=C/C=C/C=C/C=C/[C@@H](C[C@H]2[C@@H]([C@H](C[C@](O2)(C[C@H](C[C@@H]3[C@H](O3)/C=C/C(=O)O1)O)O)O)C(=O)[O-])OC4[C@H]([C@H]([C@@H]([C@H](O4)C)O)[NH3+])O Clinical Trial Toxicity:
<boolean>Yes
C[C@@H]1C/C=C/C=C/C=C/C=C/[C@@H](C[C@H]2[C@@H]([C@H](C[C@](O2)(C[C@H](C[C@@H]3[C@H](O3)/C=C/C(=O)O1)O)O)O)C(=O)[O-])OC4[C@H]([C@H]([C@@H]([C@H](O4)C)O)[NH3+])O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC(C)CC(C1(CCC1)c2ccc(cc2)Cl)[NH+](C)C Clinical Trial Toxicity:
<boolean>Yes
CC(C)CC(C1(CCC1)c2ccc(cc2)Cl)[NH+](C)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CC1=C(C(=CC=C1)Cl)NC(=O)C2=CN=C(S2)NC3=NC(=NC(=C3)N4CCN(CC4)CCO)C Clinical Trial Toxicity:
No</boolean>
CC1=C(C(=CC=C1)Cl)NC(=O)C2=CN=C(S2)NC3=NC(=NC(=C3)N4CCN(CC4)CCO)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1(c(nc(c(n1)Cl)N)N)C(=O)NC(=[NH2+])N Clinical Trial Toxicity:
<boolean>Yes
c1(c(nc(c(n1)Cl)N)N)C(=O)NC(=[NH2+])N
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1ccc2c(c1)CC(N(C2)C(=O)[C@H](CO)NC(=O)[C@H](Cc3cccs3)NC(=O)CNC(=O)C4C[C@H](CN4C(=O)C5CCCN5C(=O)C(CCC[NH+]=C(N)N)NC(=O)[C@@H](CCC[NH+]=C(N)N)[NH3+])O)C(=O)N6[C@H]7CCCC[C@H]7CC6C(=O)N[C@@H](CCC[NH+]=C(N)N)C(=O)[O-] Clinical Trial Toxicity:
<boolean>Yes
c1ccc2c(c1)CC(N(C2)C(=O)[C@H](CO)NC(=O)[C@H](Cc3cccs3)NC(=O)CNC(=O)C4C[C@H](CN4C(=O)C5CCCN5C(=O)C(CCC[NH+]=C(N)N)NC(=O)[C@@H](CCC[NH+]=C(N)N)[NH3+])O)C(=O)N6[C@H]7CCCC[C@H]7CC6C(=O)N[C@@H](CCC[NH+]=C(N)N)C(=O)[O-]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C1CCN[C@@H](C1)C2(CN(C2)C(=O)C3=C(C(=C(C=C3)F)F)NC4=C(C=C(C=C4)I)F)O Clinical Trial Toxicity:
No</boolean>
C1CCN[C@@H](C1)C2(CN(C2)C(=O)C3=C(C(=C(C=C3)F)F)NC4=C(C=C(C=C4)I)F)O
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): CCC[NH+]1CCCC[C@H]1C(=O)Nc2c(cccc2C)C Clinical Trial Toxicity:
<boolean>Yes
CCC[NH+]1CCCC[C@H]1C(=O)Nc2c(cccc2C)C
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): Cc1cc(no1)C(=O)NNCc2ccccc2 Clinical Trial Toxicity:
<boolean>Yes
Cc1cc(no1)C(=O)NNCc2ccccc2
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): C(=O)([O-])P(=O)([O-])[O-] Clinical Trial Toxicity:
<boolean>Yes
C(=O)([O-])P(=O)([O-])[O-]
random
0
smiles
You are an expert chemist, your task is to predict the property of molecule using your experienced chemical property prediction knowledge. Task Description: Given the Smiles string and molecular properties above, predict whether this molecule would be toxic in clinical trials (Yes) or not toxic (No). Consider all molecular properties provided, especially the potential toxicity indicators, electronic configurations, and overall molecular structure. You are also provided with an image for the target molecule which you need to take in account for analysis like a chemist does and provide the final conclusion considering the image as well. Examples: Target Molecule (Smiles): c1cc(ccc1C(=O)NCC(=O)[O-])N Clinical Trial Toxicity:
<boolean>Yes
c1cc(ccc1C(=O)NCC(=O)[O-])N
random
0
smiles
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Clintox-V-SMILES Train Dataset

Dataset Description

This dataset contains molecular data with visual representations for Clintox related compounds.

Features

  • Question: Question related to the molecule
  • Answer: Corresponding answer
  • TargetMolecule: SMILES representation of the target molecule
  • SampleMethod: Method used for sampling
  • SampleNum: Sample number
  • SampleRep: Sample repetition
  • image: Generated molecular structure image from SMILES

Dataset Statistics

  • Total samples: 1040
  • Image format: PIL Image (RGB)
  • Image size: 300x300 pixels

Usage

from datasets import load_dataset

dataset = load_dataset("molvision/Clintox-V-Train")

Data Fields

  • Question (string): Question text
  • Answer (string): Answer text
  • TargetMolecule (string): SMILES representation
  • SampleMethod (string): Sampling method
  • SampleNum (int): Sample number
  • SampleRep (string): Sample repetition
  • image (PIL.Image): Molecular structure visualization

Citation

Please cite this dataset if you use it in your research.

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