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In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design

Authors :
William F. Porto
Luz Irazazabal
Eliane S. F. Alves
Suzana M. Ribeiro
Carolina O. Matos
Állan S. Pires
Isabel C. M. Fensterseifer
Vivian J. Miranda
Evan F. Haney
Vincent Humblot
Marcelo D. T. Torres
Robert E. W. Hancock
Luciano M. Liao
Ali Ladram
Timothy K. Lu
Cesar de la Fuente-Nunez
Octavio L. Franco
Source :
Nature Communications, Vol 9, Iss 1, Pp 1-12 (2018)
Publication Year :
2018
Publisher :
Nature Portfolio, 2018.

Abstract

Antimicrobial peptides are considered promising alternatives to antibiotics. Here the authors developed a computational algorithm that starts with peptides naturally occurring in plants and optimizes this starting material to yield new variants which are highly distinct from the parent peptide.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.9fc4525fbb254412958fded74332d577
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-018-03746-3