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Table 2 Rough set theory rules generated with maximum support from large training dataset. The first rule describes antibacterial sequences. The accuracy of this rule is 97.8% (446/456) for the peptides that met the conditions from either the dataset from Xiao, et al [50] or the dataset from Fernandes, et al. [64]

From: Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries

Calculation AAindex1 Property Lower Value Upper Value
Window 3 NAKH900111 31.21 48.66
Window 3 FINA910104 3.45 5.10
Window 3 KUMS000101 23.6 28.20
Sum GEIM800102 12.68 39.90
Window 3 VASM830102 1.67 2.12
Window 3 QIAN880139 0.38 0.98
Sum FAUJ880112 0 3
Sum CHAM820102 −0.61 19.51