Drug Discovery On Davis Dta
평가 지표
CI
MSE
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | 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 |
0 of 4 row(s) selected.