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Table 2 The information of the 15 targets with well-established classification models

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

Target

Data source

ML algorithm

95% confidence intervals for ROC_AUC on test set

abl1

DUD-E Kinase subset

SVM

0.969 ± 0.019

akt2

0.991 ± 0.014

csf1r

0.975 ± 0.017

egfr

0.986 ± 0.009

igf1r

0.963 ± 0.036

jak2

0.998 ± 0.002

kpcb

0.973 ± 0.023

mapk2

0.987 ± 0.009

mk01

0.963 ± 0.036

src

0.960 ± 0.019

tgfr1

0.994 ± 0.007

wee1

0.994 ± 0.011

akt1

DUD-E Diverse subset

0.987 ± 0.008

cxcr4

1.000 ± 0.000

hivpr

0.984 ± 0.009