Antimicrobial Peptides Prediction method based on sequence multidimensional feature embedding

ABSTRACT: Antimicrobial peptides (AMPs) are alkaline substances with efficient bactericidal activity produced in living organisms. As the best substitute for antibiotics, they have been paid more and more attention in scientific research and clinical application. AMPs can be produced from almost all organisms and are capable of killing a wide variety of pathogenic microorganisms. In addition to being antibacterial, natural AMPs have many other therapeutically important activities, such as wound healing, antioxidant and immunomodulatory effects. To discover new AMPs, the use of wet experimental methods is expensive and difficult, and bioinformatics technology can effectively solve this problem. Recently, some deep learning methods have been applied to the prediction of AMPs and achieved good results.

SUBMITTER: Dong B 

PROVIDER: S-EPMC9714691 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature