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Table 4 Regression performance of PMF-CPI in comparison with three representative methods

From: PMF-CPI: assessing drug selectivity with a pretrained multi-functional model for compound–protein interactions

Methods

MSE \(\downarrow\)

Pearson \(\uparrow\)

DeepAffinity

0.548

0.840

DeepDTA

0.612

0.848

MONN

0.584

0.858

PMF-CPI

0.474

0.884

DeepAffinity(Parameter Ensemble)

0.533

0.840

DeepAffinity(NN Ensemble)

0.504

0.860

DeepDTA(Ensemble of 30 Models)

0.471

0.886

MONN(Ensemble of 30 Models)

0.432

0.895

PMF-CPI(Parameter Ensemble)

0.416

0.899