An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies

Table 1 Preprocessed benchmark dataset

Function	Dataset	Function type	Sequence
AMPs	\(s_{1}^{AMPs}\)	Wound healing	18
	\(s_{2}^{AMPs}\)	Spermicidal	13
	\(s_{3}^{AMPs}\)	Insecticidal	28
	\(s_{4}^{AMPs}\)	Chemotactic	57
	\(s_{5}^{AMPs}\)	Antifungal	593
	\(s_{6}^{AMPs}\)	Anti-protist	4
	\(s_{7}^{AMPs}\)	Antioxidant	22
	\(s_{8}^{AMPs}\)	Antibacterial	1297
	\(s_{9}^{AMPs}\)	Antibiotic	32
	\(s_{10}^{AMPs}\)	Antimalarial	25
	\(s_{11}^{AMPs}\)	Antiparasital	101
	\(s_{12}^{AMPs}\)	Antiviral	125
	\(s_{13}^{AMPs}\)	Anticancer	125
	\(s_{14}^{AMPs}\)	Anti-HIV	109
	\(s_{15}^{AMPs}\)	Proteinase inhibitor	26
	\(s_{16}^{AMPs}\)	Surface immobilized	43
	s ^AMPs		2618
non-AMPs	s ^{non− AMPs}		4371

ISSN: 1471-2105