共 27 条
[1]
SMITH W P J, WUCHER B R, NADELL C D, Et al., Bacterial defences: Mechanisms, evolution and antimicrobial resistance, Nature Reviews Microbiology, 21, pp. 519-534, (2023)
[2]
WANG G S, LI X, WANG Z., APD3: The antimicrobial peptide database as a tool for research and education, Nucleic Acids Research, 44, D1, pp. D1087-D1093, (2016)
[3]
GAWDE U, CHAKRABORTY S, WAGHU F H, Et al., CAMPR4: A database of natural and synthetic antimicrobial peptides, Nucleic Acids Research, 51, D1, pp. D377-D383, (2023)
[4]
KANG X Y, DONG F Y, SHI C, Et al., DRAMP 2.0, an updated data repository of antimicrobial peptides, Scientific Data, 6, (2019)
[5]
JHONG J H, CHI Y H, LI W C, Et al., dbAMP: An integrated resource for exploring antimicrobial peptides with functional activities and physicochemical properties on transcriptome and proteome data, Nucleic Acids Research, 47, D1, pp. D285-D297, (2019)
[6]
LIU M Y, LIU H M, ZHANG Z F, Et al., Review of machine learning prediction algorithms for antimicrobial peptides, Journal of University of Electronic Science and Technology of China, 51, 6, pp. 830-840, (2022)
[7]
WAGHU F H, BARAI R S, GURUNG P, Et al., CAMPR3: A database on sequences, structures and signatures of antimicrobial peptides, Nucleic Acids Research, 44, D1, pp. D1094-D1097, (2016)
[8]
SACHIN P, MADHU T, VIVEKANAND K, Et al., GEUAMP50: Enhanced antimicrobial peptide prediction using a machine learning approach, Materials Today: Proceedings, 73, pp. 81-87, (2023)
[9]
BHADRA P, YAN J L, LI J Y, Et al., AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest, Scientific Reports, 8, (2018)
[10]
LATA S, MISHRA N K, RAGHAVA G P., AntiBP2: Improved version of antibacterial peptide prediction, BMC Bioinformatics, 11, (2010)