Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
AI Methods for Antimicrobial Peptides: Progress...
Journal article

AI Methods for Antimicrobial Peptides: Progress and Challenges

Abstract

Antimicrobial peptides (AMPs) are promising candidates to combat multidrug-resistant pathogens. However, the high cost of extensive wet-lab screening has made AI methods for identifying and designing AMPs increasingly important, with machine learning (ML) techniques playing a crucial role. AI approaches have recently revolutionised this field by accelerating the discovery of new peptides with anti-infective activity, particularly in preclinical …

Authors

Brizuela CA; Liu G; Stokes JM; de la Fuente‐Nunez C

Journal

Microbial Biotechnology, Vol. 18, No. 1,

Publisher

Wiley

Publication Date

1 2025

DOI

10.1111/1751-7915.70072

ISSN

1751-7907