Drug Discovery On Davis Dta
Metrics
CI
MSE
Results
Performance results of various models on this benchmark
Model Name | CI | MSE | Paper Title | Repository |
|---|---|---|---|---|
| SMT-DTA | 0.890 | 0.219 | SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction | |
| DeepDTA | 0.870 | 0.262 | DeepDTA: Deep Drug-Target Binding Affinity Prediction | |
| DeepPurpose | 0.881 | 0.242 | DeepPurpose: a Deep Learning Library for Drug-Target Interaction Prediction | |
| GraphDTA | 0.864 | 0.263 | GraphDTA: prediction of drug–target binding affinity using graph convolutional networks |
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