Skip to main content

Table 4 Performance of the Predictor module on the USP7, JAK2, ADORA2A and KOR datasets

From: Designing optimized drug candidates with Generative Adversarial Network

Dataset

MSE ± Std

CD ± Std

CCC ± Std

MCC ± Std

USP7

0.08 ± 0.177

0.492 ± 0.122

0.664 ± 0.088

0.736 ± 0.042

JAK2

0.063 ± 0.003

0.435 ± 0.018

0.658 ± 0.021

0.43 ± 0.042

ADORA2A

0.041 ± 0.003

0.588 ± 0.041

0.78 ± 0.02

0.586 ± 0.013

KOR

0.043 ± 0.002

0.629 ± 0.015

0.795 ± 0.007

0.664 ± 0.01

  1. It shows the acquired values of Mean Squared Error (MSE), Coefficient of Determination (CD), Concordance Correlation Coefficient (CCC), and Mathews Correlation Coefficient (MCC), alongside their respective standard deviations (Std)