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Table 3 M AI vs. M TE

From: Ab initio and template-based prediction of multi-class distance maps by two-dimensional recursive neural networks

Ā 

10

20

30

40

50

60

70

80

90

ā‰„ 90

All

M AI

72.1

66.2

69.8

70.1

70.4

67.9

72.9

66.6

69.9

71.1

70.0

M TE

72.6

69.1

83.0

89.1

92.1

92.6

95.1

93.5

95.5

96.7

87.2

  1. Percentage of correctly classified residue pairs for the ab initio (M AI ) and template based Multi class predictor (M TE ) as a function of sequence identity to the best template. Template sequence identity 10 means all proteins that have a best hit template in the identity range [0, 10) %, All is the complete set.