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Table 5 Statistical performance of our model for predicting hotspot of the independent test set by types of amino acids

From: Protein-protein interface hot spots prediction based on a hybrid feature selection strategy

Types of residues

Accuracy

Specificity

Recall

Precision

F-measure

All residues (28 HS/ 67 NS)

0.705

0.657

0.821

0.500

0.621

Charged residuesa (13 HS/ 28 NS)

0.732

0.750

0.692

0.563

0.621

Non Charged residues

0.685

0.590

0.933

0.467

0.622

Polar residuesb (14 HS/41 NS)

0.709

0.707

0.714

0.455

0.556

Non polar residues

0.700

0.577

0.929

0.542

0.685

Aromatic residuesc (11 HS/12 NS)

0.652

0.417

0.818

0.563

0.667

Non aromatic residues

0.736

0.709

0.824

0.467

0.596

  1. aCharged residues: D,E,K,R,H
  2. bpolar residues: D,E,K,R,H,S,T,N,Q
  3. caromatic residues: F, H,W,Y