Table 2 Native macrostate statistics from all MSMs built with CG simulations from all protein-specific models and the multi-protein model

From: Machine learning coarse-grained potentials of protein thermodynamics

 

Protein-specific

Multi-protein

Reference

Protein

Macro prob. (%)

Mean RMSD (Å)

Min RMSD (Å)

Macro prob. (%)

Mean RMSD (Å)

Min RMSD (Å)

Macro prob. (%)

Mean RMSD (Å)

Min RMSD (Å)

Chignolin

19.7 ± 0.8

0.7 ± 0.4

0.2

33.4 ± 0.6

1.2 ± 0.6

0.2

57.5 ± 0.6

1.0 ± 0.4

0.1

Trp-Cage

93.2 ± 0.7

2.8 ± 0.5

1.0

81.1 ± 12.0

2.9 ± 0.5

1.0

30.1 ± 3.9

2.5 ± 0.8

0.4

BBA

41.1 ± 1.8

3.8 ± 1.0

1.6

17.5 ± 1.4

4.4 ± 1.0

1.6

5.24 ± 0.9

3.9 ± 1.3

1.1

WW-Domain

15.4 ± 2.5

2.5 ± 0.5

1.1

45.5 ± 1.1

2.7 ± 1.1

0.7

Villin

77.3 ± 8.9

2.7 ± 0.9

0.8

77.7 ± 13.0

2.9 ± 0.9

1.0

69.2 ± 1.4

3.4 ± 1.8

0.5

NTL9

32.0 ± 2.2

2.4 ± 0.9

0.6

15.3 ± 3.5

1.6 ± 0.9

0.3

BBL

95.0 ± 0.5

2.8 ± 1.2

1.0

47.8 ± 8.3

2.4 ± 0.6

0.9

30.5 ± 2.7

3.1 ± 1.3

0.7

Protein B

71.6 ± 1.6

5.6 ± 1.0

2.3

75.8 ± 6.4

3.3 ± 0.5

2.0

30.1 ± 0.4

4.4 ± 1.4

1.2

Homeodomain

77.6 ± 14.0

2.8 ± 0.4

1.8

98.5 ± 0.4

2.4 ± 0.3

1.5

53.5 ± 1.9

2.3 ± 1.5

0.3

Protein G

64.8 ± 3.9

2.7 ± 0.5

1.4

2.1 ± 0.9

2.2 ± 0.4

1.2

17.1 ± 1.6

2.9 ± 1.9

0.6

α3D

90.5 ± 6.9

3.2 ± 0.2

2.4

96.4 ± 2.4

3.4 ± 0.3

2.2

67.9 ± 1.2

3.5 ± 0.7

1.8

λ-repressor

77.4 ± 10.7

4.3 ± 0.5

2.1

79.1 ± 7.0

4.6 ± 0.7

2.8

21.9 ± 0.5

4.5 ± 1.2

0.8

  1. The data describes the identified native macrostate for each protein, showing equilibrium probabilities in percentage (Macro prob.), average (with standard deviation), and minimum RMSD values with respect to the experimental structure.