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Table 7 Performance comparison of Transformer models trained on different types of molecular pairs on the Merged dataset where big property changes are desired (numbers in bracket represent the absolute increase/decrease compared to the corresponding Transformer model performance on the original test set in Table 4)

From: Transformer-based molecular optimization beyond matched molecular pairs

Test set

Type of molecular pairs where Transformer is trained

Successful property constraints (%)

Successful structure constraints (%)

Successful property and structure constraints (%)

 

MMP

40.82 (\(\downarrow\) 21.08)

83.89 (\(\downarrow\) 7.66)

36.12 (\(\downarrow\) 21.97)

 

Similarity (\(\ge\)0.5)

39.81 (\(\downarrow\) 12.02)

75.00 (\(\downarrow\) 7.30)

30.70 (\(\downarrow\) 13.83)

Merged

Similarity ([0.5,0.7))

38.33 (\(\downarrow\) 8.42)

66.64 (\(\downarrow\) 1.45)

25.94 (\(\downarrow\) 7.02)

 

Similarity (\(\ge\)0.7)

36.14 (\(\downarrow\) 28.95)

68.57 (\(\downarrow\) 14.11)

25.58 (\(\downarrow\) 30.49)

 

Scaffold

36.50 (\(\downarrow\) 25.03)

89.17 (\(\downarrow\) 6.15)

33.60 (\(\downarrow\) 23.09)

 

Scaffold generic

37.78 (\(\downarrow\) 17.27)

91.30 (\(\downarrow\) 4.71)

35.26 (\(\downarrow\) 18.40)

  1. The extremes (best/worst performance or largest/smallest change) are highlighted in bold