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Table 5 Analysis of hot spot predictions for each amino acid type

From: Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods

Mutated amino acid N mut TP TN FP FN P R F1 A
Arg 33 5 16 10 2 0.33 0.71 0.45 0.64
Asn 22 3 15 1 3 0.75 0.50 0.60 0.82
Asp 29 7 15 5 2 0.58 0.78 0.67 0.76
Cys 1 0 1 0 0 NA NA NA 1.00
Gln 21 1 17 2 1 0.33 0.50 0.40 0.86
Glu 31 1 22 4 4 0.20 0.20 0.20 0.74
His 13 1 11 1 0 0.50 1.00 0.67 0.92
Ile 15 0 11 0 4 NA 0.00 NA 0.73
Leu 10 0 9 0 1 NA 0.00 0.00 0.90
Lys 32 10 20 1 1 0.91 0.91 0.91 0.94
Met 2 0 1 1 0 0.00 NA NA 0.50
Phe 11 1 8 1 1 0.50 0.50 0.50 0.82
Ser 28 1 22 5 0 0.17 1.00 0.29 0.82
Thr 24 0 21 2 1 0.00 0.00 0.00 0.88
Trp 23 5 13 1 4 0.83 0.56 0.67 0.78
Tyr 44 17 17 7 3 0.71 0.85 0.77 0.77
Val 10 1 7 1 1 0.50 0.50 0.50 0.80
All 349 53 226 42 28 0.56 0.65 0.60 0.80
  1. N mut : number of mutations, TP: true positives, TN: true negatives, FP: false positives, FN = false negatives; P: precision, R: recall, F1: F1 score, A: accuracy = .