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

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

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.

Bibliographic Details
Main 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
Format: Article
Language:English
Published: Nature Publishing Group 2018-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-03746-3

Internet

https://doi.org/10.1038/s41467-018-03746-3

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