Chung, C. R., Kuo, T. R., Wu, L. C., Lee, T. Y., & Horng, J. T. (2020). Characterization and identification of antimicrobial peptides with different functional activities. Briefings in Bioinformatics, 21(3), 1098-1114.
AMPfun is a web server providing users an effective identification of antimicrobial peptides (AMPs) with their functional activities.
The antimicrobial peptides (AMPs) are produced by virtually all organisms on earth and are essential components of the innate immune system, which makes them the first line of defense against microbes in many organisms. The following figures are the structures of the four classes of AMPs.
Ref. Peters BM, Shirtliff ME, and Jabra-Rizk MA (2010) Antimicrobial Peptides: Primeval Molecules or Future Drugs?. PLOS Pathogens 6(10): e1001067. https://doi.org/10.1371/journal.ppat.1001067
AMPfun can predict the possibility that a peptide sequence might be an AMP with a particular functional activity. The best prediction models for anti-parasite AMPs, anti-viral AMPs, anti-cancer AMPs, AMPs targeting mammals, anti-fungal AMPs, AMPs targeting Gram-positive bacteria and AMPs targeting Gram-negative bacteria are applied here. Not only the prediction tool is provided for users here, all datasets used in constructing the preidction models also can be download from this website.
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