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Table 1 Distribution of the features used to encode each peptide

From: AntAngioCOOL: computational detection of anti-angiogenic peptides

Feature type No. of features
PseAAC (λ = 6) 28
k-mer composition
 k = 2 400
 k = 3 8000
 k = 4 160,000
k-mer composition (reduced alphabeta)
 k = 2 64
 k = 3 512
 k = 4 4096
Physico-chemical profile 1910
Atomic profile 80
Total 175,062
  1. aTo compute k-mer composition features, the reduced amino acid alphabet proposed by Zahiri et al. was applied: the 20 alphabet of amino acids was reduced to a new alphabet with size 8 according to 544 physicochemical and biochemical indices that extracted from AAIndex database (C1 = {A, E}, C2 = {I, L, F, M, V}, C3 = {N, D, T, S}, C4 = {G}, C5 = {P}, C6 = {R, K, Q, H}, C7 = {Y, W}, C8 = {C}). We computed k-mer composition for k = 2, 3, 4 for each peptide