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.

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9fc4525fbb254412958fded74332d577
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spelling	oai:doaj.org-article:9fc4525fbb254412958fded74332d5772021-12-02T14:41:28ZIn silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design10.1038/s41467-018-03746-32041-1723https://doaj.org/article/9fc4525fbb254412958fded74332d5772018-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03746-3https://doaj.org/toc/2041-1723Antimicrobial 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.William F. PortoLuz IrazazabalEliane S. F. AlvesSuzana M. RibeiroCarolina O. MatosÁllan S. PiresIsabel C. M. FensterseiferVivian J. MirandaEvan F. HaneyVincent HumblotMarcelo D. T. TorresRobert E. W. HancockLuciano M. LiaoAli LadramTimothy K. LuCesar de la Fuente-NunezOctavio L. FrancoNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-12 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
description	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.
format	article
author	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
author_facet	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
author_sort	William F. Porto
title	In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
title_short	In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
title_full	In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
title_fullStr	In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
title_full_unstemmed	In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
title_sort	in silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/9fc4525fbb254412958fded74332d577
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In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design

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