Table 1 Putatively identified AMPs and their characteristics.

From: A comparative study of computational modeling approaches for evaluating structural dynamics and algorithmic suitability of short length peptides

Name

Sequence

Length

Probable source

Amp21

RVIVGHDKVNQLRHVRFFKISTAW

24

Mycobacterium tuberculosis

Amp32

KKIIGYIHEAGKGRILFCQ

19

Desulfitobacterium hafniense

Amp43

LAWQEVPLFARIIPLADVIDAIAN

24

Vibrio cholerae

Amp164

GEKFGAKDLGVKIVGDLAMPGGGPLRAGKL

30

Haemophilus influenza

Amp175

FNTPSYFAARFKKYIGCLPTEYGKK

25

Bacillus subtilis

Amp186

KEKKKKKKKKNTNIFKNKKKGFFFFFFF

28

Yersinia pseudotuberculosis

Amp207

KDRRGIKKRKYFFGNEKFEAVA

22

Parasynechococcus marenigrum

Amp218

DEVRNKIKENQKEKENETLTRRRLSRQPKL

30

Eubacterium rectale ATCC33656

Amp239

KEVIGERKISYRYRWSIQL

19

Staphylococcus aureus

Amp2410

KKKKRKKKKKKRVFFFFFFFFFFFFFFF

28

Pyrococcus abyssi

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