Drug-Target Affinity prediction on DAVIS (test)
0.219MSESSM-DTA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SSM-DTA2022.06 | 0.219 | 0.89 | |
| Our baselinedescription=Two separate encoders, cross-attention module, and feed-forward layer, without semi-supervised multi-task training2022.06 | 0.237 | 0.875 | |
| DeepPurpose2022.06 | 0.242 | 0.881 | |
| DeepCDA2022.06 | 0.248 | 0.891 | |
| DeepDTAProteins=CNN, Compounds=CNN2018.01 | 0.261 | 0.878 | |
| DeepDTA2022.06 | 0.262 | 0.87 | |
| GraphDTA2022.06 | 0.263 | 0.864 | |
| SimBoostProteins=Smith-Waterman, Compounds=Pubchem Sim2018.01 | 0.282 | 0.872 | |
| KronRLS2022.06 | 0.329 | 0.847 | |
| KronRLSProteins=Smith-Waterman, Compounds=Pubchem Sim2018.01 | 0.379 | 0.871 | |
| DeepDTAProteins=CNN, Compounds=Pubchem Sim2018.01 | 0.419 | 0.835 | |
| DeepDTAProteins=Smith-Waterman, Compounds=CNN2018.01 | 0.42 | 0.886 | |
| SVR2022.06 | 0.434 | 0.827 | |
| Ridge Regression2022.06 | 0.532 | 0.8 | |
| Linear Regression2022.06 | 0.542 | 0.79 | |
| DeepDTAProteins=Smith-Waterman, Compounds=Pubchem Sim2018.01 | 0.608 | 0.79 |