Emerging Computational Approaches for Antimicrobial Peptide Discovery

Emerging Computational Approaches for Antimicrobial Peptide Discovery

In the last two decades many reports have addressed the application of artificial intelligence (AI) in the search and design of antimicrobial peptides (AMPs). AI has been represented by machine learning (ML) algorithms that use sequence-based features for the discovery of new peptidic scaffolds with...

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Bibliographic Details
Main Authors: Guillermin Agüero-Chapin, Deborah Galpert-Cañizares, Dany Domínguez-Pérez, Yovani Marrero-Ponce, Gisselle Pérez-Machado, Marta Teijeira, Agostinho Antunes
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Antibiotics
Subjects:
artificial intelligence
machine learning
AMPs
evolutionary algorithms
molecular descriptors
complex networks
Online Access:https://www.mdpi.com/2079-6382/11/7/936

Internet

https://www.mdpi.com/2079-6382/11/7/936

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