Skip to main content

Table 9 Results of ablation experiments

From: ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding

Dataset method CI MSE R \(r_m^2\) AUPR
Davis ELECTRA-DTA 0.896 (0.002) 0.195 0.838 0.637 (0.048) 0.685 (0.026)
Onehot-DTA 0.850 (0.005) 0.301 0.739 0.525 (0.018) 0.561 (0.029)
KIBA ELECTRA-DTA 0.892 (0.002) 0.143 0.892 0.780 (0.014) 0.805 (0.005)
Onehot-DTA 0.883 (0.002) 0.157 0.881 0.744 (0.012) 0.792 (0.003)
BindingDB ELECTRA-DTA 0.837 (0.002) 0.650 0.860 0.670 (0.027) 0.811 (0.001)
Onehot-DTA 0.830 (0.001) 0.700 0.849 0.659 (0.037) 0.799 (0.004)
  1. Bold values represent the best performance over all competitive methods