Computer-Aided Design of Antimicrobial Peptides: Are We Generating Effective Drug Candidates?

ABSTRACT: Antimicrobial peptides (AMPs), especially antibacterial peptides, have been widely investigated as potential alternatives to antibiotic-based therapies. Indeed, naturally occurring and synthetic AMPs have shown promising results against a series of clinically relevant bacteria. Even so, this class of antimicrobials has continuously failed clinical trials at some point, highlighting the importance of AMP optimization. In this context, the computer-aided design of AMPs has put together crucial information on chemical parameters and bioactivities in AMP sequences, thus providing modes of prediction to evaluate the antibacterial potential of a candidate sequence before synthesis. Quantitative structure-activity relationship (QSAR) computational models, for instance, have greatly contributed to

SUBMITTER: Cardoso MH 

PROVIDER: S-EPMC6987251 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature