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Table 3 Comparison with existing methods PISA and EPPIC.

From: Use B-factor related features for accurate classification between protein binding interfaces and crystal packing contacts

Tested on Methods Prec Sens Spec Acc MCC
BNCPCS EPPIC-core 0.98 0.76 0.99 0.90 0.79
  AvgΣB 1.00 0.85 1.00 0.94 0.88
  avgΣB*avgNo.B 1.00 0.83 1.00 0.93 0.86
Ponstingl EPPIC-core 0.90 0.75 0.93 0.85 0.70
  AvgΣB 0.94 0.83 0.96 0.90 0.80
  avgΣB*avgNo.B 0.98 0.79 0.99 0.90 0.81
  EPPIC 0.92 0.90 0.87 0.89 0.76
  PISA 0.87 0.89 0.77 0.84 0.66
Bahadur EPPIC-core 0.92 0.80 0.95 0.89 0.77
  AvgΣB 0.85 0.81 0.91 0.87 0.73
  avgΣB*avgNo.B 0.89 0.80 0.94 0.88 0.75
  EPPIC 0.78 0.89 0.84 0.86 0.72
  PISA 0.65 0.89 0.69 0.77 0.57
  1. All of these methods are optimized on the DC dataset. EPPIC-core is the classifier using the number of core residues in interfaces according to the definition in EPPIC. The performance of EPPIC or PISA is borrowed from [17]. The scores of EPPIC and PISA are absent on the BNCPCS dataset.