Table 3 Ablation study of the denoising network modules in MapDiff

From: Mask-prior-guided denoising diffusion improves inverse protein folding

Module

Component

MapDiff

Variant 1

Variant 2

Variant 3

Variant 4

Variant 5

G-EGNN

EdgeUpdate

 

CoordinateUpdate

  

GlobalContext

 

Refinement

MaskAdaptor

 

 

IPA network

 

Sequence

Recovery (, %)

60.93

58.64

59.76

58.38

60.16

56.46

NSSR62 (, %)

78.57

76.73

77.32

77.04

77.80

75.69

NSSR90 (, %)

75.66

73.52

74.82

74.24

75.02

72.58

Foldability

pLDDT ()

88.63

88.08

88.24

87.95

88.30

86.95

PTM ()

79.00

78.42

78.61

78.24

78.74

77.20

PAE ()

5.42

5.57

5.54

5.62

5.49

5.86

TM-Score (, %)

88.77

88.25

88.47

88.16

88.58

87.50

GDT-TS (, %)

87.75

87.12

87.40

86.96

87.53

85.72

RMSD ()

2.57

2.67

2.65

2.65

2.53

2.76

Summary

Change

-

  1. We studied five model variants and investigated how much sequence recovery and foldability metrics decreased when key components were removed on CATH 4.2.
  2. The best result for each metric is marked in bold.