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Table 7 M TE vs. best template

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

Ā 

10

20

30

M TE

69.3

74.5

86.0

Baseline

63.8

72.3

85.3

  1. Percentage of correctly classified residue pairs for M TE when only considering residues covered by the best template. Baseline is a predictor that copies the class assignment from the best hit template. Template sequence identity 10 means all proteins that have a best hit template in the identity range [0, 10) %