Prediction of Antimicrobial Potential of a Chemically Modified Peptide From Its Tertiary Structure

Designing novel antimicrobial peptides is a hot area of research in the field of therapeutics especially after the emergence of resistant strains against the conventional antibiotics. In the past number of in silico methods have been developed for predicting the antimicrobial property of the peptide...

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Autors principals:	Piyush Agrawal, Gajendra P. S. Raghava
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2018-10-01
Col·lecció:	Frontiers in Microbiology
Matèries:	chemically modified peptides antimicrobial peptide prediction machine learning technique resistance fingerprints peptide therapeutics
Accés en línia:	https://www.frontiersin.org/article/10.3389/fmicb.2018.02551/full
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