AI4AMP: an Antimicrobial Peptide Predictor Using Physicochemical Property-Based Encoding Method and Deep Learning
Tzu-Tang Lin, Li-Yen Yang, I-Hsuan Lu, Wen-Chih Cheng, Zhe-Ren Hsu, Shu-Hwa Chen, Chung-Yen Lin
Abstract
Antimicrobial peptides (AMPs) are innate immune components that have aroused a great deal of interest among drug developers recently, as they may become a substitute for antibiotics. New candidates need to fight antibiotic resistance, while discovering novel AMPs through wet-lab screening approaches is inefficient and expensive.
Topics & Concepts
Antimicrobial peptidesDeep learningArtificial intelligenceComputer scienceInnate immune systemComputational biologyAntimicrobialMachine learningProteomeDrug discoverySet (abstract data type)Data setDefensinDeep sequencingBioinformaticsPeptideBeta defensinTraining setAntibioticsImmune recognitionSequence (biology)Encoding (memory)MicrobiomeBiologyImmune systemAntimicrobial Peptides and ActivitiesMachine Learning in Bioinformaticsvaccines and immunoinformatics approaches