Table 2 Comparison of the performance of ColdstartCPI and structure-based baselines on the DUD-E and LIT_PCBA benchmark

From: ColdstartCPI: Induced-fit theory-guided DTI predictive model with improved generalization performance

Datasets

Models

AUC (%)

BEDROC (%)

EF

0.5%

1%

5%

DUD-E

Glide-SPa

76.70

40.70

19.39

16.18

7.23

Vinab

71.60

——

9.13

7.32

4.44

Sminac

69.6

——

——

——

——

NN-scorea

68.30

12.20

4.16

4.02

3.12

RFscorea

65.21

12.41

4.90

4.52

2.98

Pafnucya

63.11

16.50

4.24

4.24

3.76

OnionNeta

59.71

8.62

2.84

2.84

2.20

PLANETd

71.60

——

10.23

8.83

5.40

ColdstartCPI

76.53

20.78

21.61

15.15

6.42

LIT_PCBA

Surflexe

51.47

——

——

2.50

——

Glide-SPd

53.57

4.00

3.4

3.13

2.17

PLANETd

55.58

——

3.64

3.28

2.01

ConBAPf

55.36

——

3.89

2.53

1.65

ColdstartCPI

59.55

3.80

3.28

2.24

1.70

  1. a Performance metrics are cited from reference109. b Performance metrics are cited from reference110. cPerformance metrics are cited from reference111. d Performance metrics are cited from reference16.e Performance metrics are cited from reference63. f Performance metrics are cited from reference17.