Drug-Target Affinity prediction on KIBA (test)
0.154MSESSM-DTA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SSM-DTA2022.06 | 0.154 | 0.895 | |
| Our baselinedescription=Two separate encoders, cross-attention module, and feed-forward layer, without semi-supervised multi-task training2022.06 | 0.162 | 0.891 | |
| DeepCDA2022.06 | 0.176 | 0.889 | |
| DeepPurpose2022.06 | 0.178 | 0.872 | |
| GraphDTA2022.06 | 0.183 | 0.862 | |
| DeepDTAProteins=CNN, Compounds=CNN2018.01 | 0.194 | 0.863 | |
| DeepDTA2022.06 | 0.196 | 0.864 | |
| DeepDTAProteins=Smith-Waterman, Compounds=CNN2018.01 | 0.204 | 0.854 | |
| SimBoostProteins=Smith-Waterman, Compounds=Pubchem Sim2018.01 | 0.222 | 0.836 | |
| SVR2022.06 | 0.343 | 0.764 | |
| KronRLSProteins=Smith-Waterman, Compounds=Pubchem Sim2018.01 | 0.411 | 0.782 | |
| Linear Regression2022.06 | 0.443 | 0.741 | |
| Ridge Regression2022.06 | 0.443 | 0.742 | |
| DeepDTAProteins=Smith-Waterman, Compounds=Pubchem Sim2018.01 | 0.502 | 0.71 | |
| DeepDTAProteins=CNN, Compounds=Pubchem Sim2018.01 | 0.571 | 0.718 | |
| KronRLS2022.06 | 0.852 | 0.688 |