Bioinformatics Approaches Applied to the Discovery of Antifungal Peptides.

ABSTRACT: Antifungal peptides (AFPs) comprise a group of substances with a broad spectrum of activities and complex action mechanisms. They develop in nature via an evolutionary process resulting from the interactions between hosts and pathogens. The AFP database is experimentally verified and curated from research articles, patents, and public databases. In this review, we compile information about the primary databases and bioinformatics tools that have been used in the discovery of AFPs during the last 15 years. We focus on the classification and prediction of AFPs using different physicochemical properties, such as polarity, hydrophobicity, hydrophilicity, mass, acidic, basic, and isoelectric indices, and other structural properties. Another method for discovering AFPs is the implementation of a

SUBMITTER: Rodriguez-Cerdeira C 

PROVIDER: S-EPMC10044696 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature