Bioinformatics Approaches Applied to the Discovery of Antifungal Peptides

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 re...

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Bibliographic Details
Published in:Antibiotics (Basel) 2023-03, Vol.12 (3), p.566
Main Authors: Rodríguez-Cerdeira, Carmen, Molares-Vila, Alberto, Sánchez-Cárdenas, Carlos Daniel, Velásquez-Bámaca, Jimmy Steven, Martínez-Herrera, Erick
Format: Article
Language:English
Subjects:
Accuracy
Amino acids
Antifungal agents
antifungal peptides
Antimicrobial activity
Antimicrobial agents
Artificial intelligence
Bacteria
Bioinformatics
bioinformatics tools
Computational biology
computational tools
Datasets
Fungal infections
Fungi
Fungicides
Hydrophobicity
Peptides
Physicochemical properties
Polarity
Software
Support vector machines
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Summary: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 peptidomic approach and bioinformatics filtering, which gave rise to a new family of peptides that exhibit a broad spectrum of antimicrobial activity against with low hemolytic effects. The application of machine intelligence in the sphere of biological sciences has led to the development of automated tools. The progress made in this area has also paved the way for producing new drugs more quickly and effectively. However, we also identified that further advancements are still needed to complete the AFP libraries.
ISSN:2079-6382
2079-6382
DOI:10.3390/antibiotics12030566