IAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities.

ABSTRACT: Antimicrobial peptides (AMPs) are short peptides that play crucial roles in diverse biological processes and have various functional activities against target organisms. Due to the abuse of chemical antibiotics and microbial pathogens' increasing resistance to antibiotics, AMPs have the potential to be alternatives to antibiotics. As such, the identification of AMPs has become a widely discussed topic. A variety of computational approaches have been developed to identify AMPs based on machine learning algorithms. However, most of them are not capable of predicting the functional activities of AMPs, and those predictors that can specify activities only focus on a few of them. In this study, we first surveyed 10 predictors that can identify AMPs and their functional activities in terms of th

SUBMITTER: Xu J 

PROVIDER: S-EPMC10359087 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature