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Table 2 Comparison of the percentage of important substructures contained in the molecules generated by the different methods and the molecules in the ZINC and A2AR sets

From: An exploration strategy improves the diversity of de novo ligands using deep reinforcement learning: a case for the adenosine A2A receptor

 

Fused ring (%)

Furan ring (%)

Benzene ring (%)

DrugEx (Pre-trained)

9.12

82.32

61.48

DrugEx (Fine-tuned)

60.69

66.35

65.62

REINVENT

0.20

95.26

61.98

ORGANIC

0.02

99.96

39.45

Pre-trained

24.22

4.51

63.31

Fine-tuned

76.33

23.82

72.85

ZINC

26.66

3.86

63.97

A2AR

 Active

79.09

40.29

75.33

 Inactive

76.73

9.33

70.88

  1. These methods contained DrugEx with pre-trained and fine-tuned model as different Gφ (in the parentheses), REINVENT, ORGANIC, Pre-trained model, and Fine-tuned model