Accelerating antimicrobial peptide design: Leveraging deep learning for rapid discovery.

ABSTRACT: Antimicrobial peptides (AMPs) are excellent at fighting many different infections. This demonstrates how important it is to make new AMPs that are even better at eliminating infections. The fundamental transformation in a variety of scientific disciplines, which led to the emergence of machine learning techniques, has presented significant opportunities for the development of antimicrobial peptides. Machine learning and deep learning are used to predict antimicrobial peptide efficacy in the study. The main purpose is to overcome traditional experimental method constraints. Gram-negative bacterium Escherichia coli is the model organism in this study. The investigation assesses 1,360 peptide sequences that exhibit anti- E. coli activity. These peptides' minimal inhibitory concentrations have

SUBMITTER: Al-Omari AM 

PROVIDER: S-EPMC11661626 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature