Drug Discovery
Drug discovery is the task of applying machine learning to discover new candidate drugs.
( Image credit: A Turing Test for Molecular Generators )
Papers
Showing 1–10 of 1337 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Molecular Graph Convolutions | Error ratio | 2.59 | — | Unverified |
| 2 | Gated Graph Sequence NN | Error ratio | 1.36 | — | Unverified |
| 3 | MPNNs | Error ratio | 0.68 | — | Unverified |
| 4 | DeepMoleNet | Error ratio | 0.53 | — | Unverified |
| 5 | DimeNet | Error ratio | 0.44 | — | Unverified |
| 6 | PaiNN | Error ratio | 0.41 | — | Unverified |
| 7 | DimeNet++ | Error ratio | 0.41 | — | Unverified |
| 8 | ComENet | Error ratio | 0.4 | — | Unverified |
| 9 | SphereNet | Error ratio | 0.39 | — | Unverified |
| 10 | MXMNet | Error ratio | 0.38 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | elEmBERT-V1 | AUC | 0.96 | — | Unverified |
| 2 | TrimNet + Perforated Backpropagation | AUC | 0.89 | — | Unverified |
| 3 | SSVAE with multiple SMILES | AUC | 0.87 | — | Unverified |
| 4 | Ensemble predictor | AUC | 0.86 | — | Unverified |
| 5 | TrimNet | AUC | 0.86 | — | Unverified |
| 6 | GraphConv + dummy super node | AUC | 0.85 | — | Unverified |
| 7 | GraphConv | AUC | 0.85 | — | Unverified |
| 8 | SNN (SELU Network) | AUC | 0.85 | — | Unverified |
| 9 | ContextPred | AUC | 0.78 | — | Unverified |
| 10 | GIT-Mol(G+S) | AUC | 0.76 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | TrimNet | AUC | 0.88 | — | Unverified |
| 2 | Ensemble locally constant network | AUC | 0.87 | — | Unverified |
| 3 | ProtoW-L2 | AUC | 0.87 | — | Unverified |
| 4 | elEmBERT-V1 | AUC | 0.86 | — | Unverified |
| 5 | ContextPred | AUC | 0.85 | — | Unverified |
| 6 | GIT-Mol(G+S) | AUC | 0.81 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GraphConv + dummy super node + focal loss | AUC | 0.85 | — | Unverified |
| 2 | GraphConv | AUC | 0.82 | — | Unverified |
| 3 | TrimNet | AUC | 0.8 | — | Unverified |
| 4 | ContextPred | AUC | 0.8 | — | Unverified |
| 5 | RNN-DFS | AUC | 0.63 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | TrimNet | AUC | 0.85 | — | Unverified |
| 2 | GraphConv + dummy super node | AUC | 0.85 | — | Unverified |
| 3 | GraphConv | AUC | 0.84 | — | Unverified |
| 4 | ContextPred | AUC | 0.81 | — | Unverified |
| 5 | RNN-DFS | AUC | 0.65 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | TrimNet | AUC | 0.78 | — | Unverified |
| 2 | GraphConv + dummy super node | AUC | 0.77 | — | Unverified |
| 3 | GraphConv | AUC | 0.75 | — | Unverified |
| 4 | GIT-Mol(G+S) | AUC | 0.67 | — | Unverified |
| 5 | ContextPred | AUC | 0.66 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | ProtoW-L2 | AUC | 0.92 | — | Unverified |
| 2 | elEmBERT-V1 | AUC | 0.91 | — | Unverified |
| 3 | GIT-Mol(G+S) | AUC | 0.74 | — | Unverified |
| 4 | ContextPred | AUC | 0.69 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | AttentionSiteDTI | AUC | 0.97 | — | Unverified |
| 2 | GLAM | AUC | 0.95 | — | Unverified |
| 3 | TransformerCPI | AUC | 0.94 | — | Unverified |
| 4 | DGraphDTA | AUC | 0.92 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | BiLSTM | AUC | 0.97 | — | Unverified |
| 2 | TrimNet | AUC | 0.95 | — | Unverified |
| 3 | GIT-Mol(G+S) | AUC | 0.88 | — | Unverified |
| 4 | ContextPred | AUC | 0.73 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | SMT-DTA | CI | 0.89 | — | Unverified |
| 2 | DeepPurpose | CI | 0.88 | — | Unverified |
| 3 | DeepDTA | CI | 0.87 | — | Unverified |
| 4 | GraphDTA | CI | 0.86 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | SMT-DTA | CI | 0.89 | — | Unverified |
| 2 | DeepPurpose | CI | 0.87 | — | Unverified |
| 3 | DeepDTA | CI | 0.86 | — | Unverified |
| 4 | GraphDTA | CI | 0.86 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | EGT+TGT-At-DP | AUC | 0.81 | — | Unverified |
| 2 | GLAM | AUC | 0.76 | — | Unverified |
| 3 | TransformerCPI | AUC | 0.69 | — | Unverified |
| 4 | DGraphDTA | AUC | 0.68 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | EGT+TGT-At-DP | AUC | 0.75 | — | Unverified |
| 2 | GLAM | AUC | 0.71 | — | Unverified |
| 3 | TransformerCPI | AUC | 0.65 | — | Unverified |
| 4 | DGraphDTA | AUC | 0.63 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | EGT+TGT-At-DP | AUC | 0.74 | — | Unverified |
| 2 | GLAM | AUC | 0.73 | — | Unverified |
| 3 | TransformerCPI | AUC | 0.68 | — | Unverified |
| 4 | DGraphDTA | AUC | 0.67 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | elEmBERT-V1 | AUC | 0.78 | — | Unverified |
| 2 | Ensemble locally constant networks | AUC | 0.69 | — | Unverified |
| 3 | GIT-Mol(G+S) | AUC | 0.63 | — | Unverified |
| 4 | ContextPred | AUC | 0.63 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GLAM | AUC | 0.67 | — | Unverified |
| 2 | TransformerCPI | AUC | 0.62 | — | Unverified |
| 3 | DGraphDTA | AUC | 0.61 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | DeepDTA | Pearson Correlation | 0.85 | — | Unverified |
| 2 | DeepAffinity | Pearson Correlation | 0.84 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GraphConv + dummy super node | AUC | 0.87 | — | Unverified |
| 2 | GraphConv | AUC | 0.86 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GLAM | AUC | 0.89 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GLAM | AUC | 0.93 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | HierG2G | Diversity | 0.19 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Multi-input Neural network with Attention | AUC | 0.91 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GLAM | RMSE | 0.59 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GLAM | RMSE | 1.32 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GLAM | RMSE | 0.6 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Ensemble locally constant networks | RMSE | 1.22 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | HierG2G | Diversity | 0.48 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GLAM | AUC | 0.74 | — | Unverified |