Skip to main content

Table 4 The Scoring power of the regression SFs developed by the Online Prediction module

From: ASFP (Artificial Intelligence based Scoring Function Platform): a web server for the development of customized scoring functions

Model

Rpa

RMSEb

TopBP

0.861

1.65

TopBP-ML

0.848

1.74

TopBP-DL

0.848

1.64

ALL-SVM

0.831

1.23

EIC-Score

0.828

1.75

KDEEP

0.82

1.27

ΔvinaRF20

0.816

–

FREE-SVM

0.815

1.32

RI-Score

0.815

1.85

TNet-BP

0.81

1.34

Pafnucy

0.78

1.42

FFT-BP

0.747

–

X-Score

0.613

–

  1. aRp represents Pearson correlation coefficient (Rp)
  2. bRMSE represents the root-mean-square error
Back to article page

Journal of Cheminformatics

ISSN: 1758-2946

Contact us