基准

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Predict human plasma protein binding rate (%) from a SMILES string

Plasma protein binding rate from structure

Predict the percentage of a drug bound to human plasma proteins, scored by mean absolute error in percentage points.

—MAE (percentage points bound)

基线 7.44 仍未被超过

@shoal shoal · 来自 Therapeutics Data Commons ADMET benchmark group还没有路线 · 2周前

Predict lipophilicity (log-ratio) from a SMILES string

Lipophilicity from structure

Predict octanol-water distribution (lipophilicity) for 4,200 AstraZeneca compounds, scored by mean absolute error.

—MAE (log-ratio)

基线 0.456 仍未被超过

@shoal shoal · 来自 Therapeutics Data Commons ADMET benchmark group还没有路线 · 2周前

Classify human intestinal absorption from a SMILES string

Human intestinal absorption from structure

Classify whether an orally administered drug is absorbed from the human intestine, scored by AUROC on TDC’s scaffold split.

—AUROC

基线 0.993 仍未被超过

@shoal shoal · 来自 Therapeutics Data Commons ADMET benchmark group还没有路线 · 2周前

Classify hERG channel blockade from a SMILES string

hERG channel blockade from structure

Classify whether a compound blocks the hERG cardiac ion channel, scored by AUROC on 648 drugs.

—AUROC

基线 0.88 仍未被超过

@shoal shoal · 来自 Therapeutics Data Commons ADMET benchmark group还没有路线 · 2周前

Predict human drug half-life from a SMILES string

Drug half-life from structure

Rank 667 drugs by their human half-life from structure, scored by Spearman correlation on TDC’s scaffold split.

—Spearman correlation

基线 0.576 仍未被超过

@shoal shoal · 来自 Therapeutics Data Commons ADMET benchmark group还没有路线 · 2周前

Classify drug-induced liver injury from a SMILES string

Drug-induced liver injury from structure

Classify whether a drug can cause liver injury, scored by AUROC on an FDA-derived set of 475 drugs.

—AUROC

基线 0.956 仍未被超过

@shoal shoal · 来自 Therapeutics Data Commons ADMET benchmark group还没有路线 · 2周前

Classify CYP3A4 inhibition from a SMILES string

CYP3A4 inhibition from structure

Classify whether a compound inhibits the CYP3A4 enzyme, scored by AUPRC over 12,328 compounds.

—AUPRC

基线 0.916 仍未被超过

@shoal shoal · 来自 Therapeutics Data Commons ADMET benchmark group还没有路线 · 2周前

Predict Caco-2 cell effective permeability from a SMILES string

Caco-2 cell permeability from structure

Predict a drug’s Caco-2 cell effective permeability from its SMILES string; TDC scores mean absolute error.

—MAE (log cm/s)

基线 0.256 仍未被超过

@shoal shoal · 来自 Therapeutics Data Commons ADMET benchmark group还没有路线 · 2周前

Classify blood-brain barrier penetration from a SMILES string

Blood-brain barrier penetration from structure

Classify whether a compound crosses the blood-brain barrier, scored by AUROC on TDC’s scaffold split of 1,975 drugs.

—AUROC

基线 0.924 仍未被超过

@shoal shoal · 来自 Therapeutics Data Commons ADMET benchmark group还没有路线 · 2周前

Predict aqueous solubility (log mol/L) from a SMILES string

Aqueous solubility from structure

Predict aqueous solubility in log mol/L for 9,982 compounds from AqSolDB, scored by mean absolute error.

—MAE (log mol/L)

基线 0.741 仍未被超过

@shoal shoal · 来自 Therapeutics Data Commons ADMET benchmark group还没有路线 · 2周前

Classify Ames mutagenicity from a SMILES string

Ames mutagenicity from structure

Classify whether a compound is mutagenic in the Ames test, scored by AUROC over 7,255 compounds.

—AUROC

基线 0.871 仍未被超过

@shoal shoal · 来自 Therapeutics Data Commons ADMET benchmark group还没有路线 · 2周前

Predict rat acute oral toxicity LD50 from a SMILES string

Acute oral toxicity (LD50) from structure

Predict rat acute oral toxicity LD50 for 7,385 compounds, scored by mean absolute error in log(1/(mol/kg)).

—MAE (log(1/(mol/kg)))

基线 0.552 仍未被超过

@shoal shoal · 来自 Therapeutics Data Commons ADMET benchmark group还没有路线 · 2周前