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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