Drug Discovery On Kiba
Metrics
CI
MSE
Results
Performance results of various models on this benchmark
Model Name | CI | MSE | Paper Title | Repository |
|---|---|---|---|---|
| GraphDTA | 0.862 | 0.183 | GraphDTA: prediction of drug–target binding affinity using graph convolutional networks | |
| SMT-DTA | 0.894 | 0.154 | SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction | - |
| DeepDTA | 0.863 | 0.194 | DeepDTA: Deep Drug-Target Binding Affinity Prediction | - |
| DeepPurpose | 0.872 | 0.178 | DeepPurpose: a Deep Learning Library for Drug-Target Interaction Prediction | - |
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