Discovering de novo peptide substrates for enzymes using machine learning

The discovery of peptide substrates for enzymes with selective activities is a central goal in chemical biology. Here, the authors develop a hybrid method combining machine learning and experimental testing for fast optimization of peptides for specific, orthogononal functions.

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Autores principales: Lorillee Tallorin, JiaLei Wang, Woojoo E. Kim, Swagat Sahu, Nicolas M. Kosa, Pu Yang, Matthew Thompson, Michael K. Gilson, Peter I. Frazier, Michael D. Burkart, Nathan C. Gianneschi
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Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/d9ae7a50ccf5436cb95b497dfe663903
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spelling oai:doaj.org-article:d9ae7a50ccf5436cb95b497dfe6639032021-12-02T14:40:54ZDiscovering de novo peptide substrates for enzymes using machine learning10.1038/s41467-018-07717-62041-1723https://doaj.org/article/d9ae7a50ccf5436cb95b497dfe6639032018-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07717-6https://doaj.org/toc/2041-1723The discovery of peptide substrates for enzymes with selective activities is a central goal in chemical biology. Here, the authors develop a hybrid method combining machine learning and experimental testing for fast optimization of peptides for specific, orthogononal functions.Lorillee TallorinJiaLei WangWoojoo E. KimSwagat SahuNicolas M. KosaPu YangMatthew ThompsonMichael K. GilsonPeter I. FrazierMichael D. BurkartNathan C. GianneschiNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Lorillee Tallorin
JiaLei Wang
Woojoo E. Kim
Swagat Sahu
Nicolas M. Kosa
Pu Yang
Matthew Thompson
Michael K. Gilson
Peter I. Frazier
Michael D. Burkart
Nathan C. Gianneschi
Discovering de novo peptide substrates for enzymes using machine learning
description The discovery of peptide substrates for enzymes with selective activities is a central goal in chemical biology. Here, the authors develop a hybrid method combining machine learning and experimental testing for fast optimization of peptides for specific, orthogononal functions.
format article
author Lorillee Tallorin
JiaLei Wang
Woojoo E. Kim
Swagat Sahu
Nicolas M. Kosa
Pu Yang
Matthew Thompson
Michael K. Gilson
Peter I. Frazier
Michael D. Burkart
Nathan C. Gianneschi
author_facet Lorillee Tallorin
JiaLei Wang
Woojoo E. Kim
Swagat Sahu
Nicolas M. Kosa
Pu Yang
Matthew Thompson
Michael K. Gilson
Peter I. Frazier
Michael D. Burkart
Nathan C. Gianneschi
author_sort Lorillee Tallorin
title Discovering de novo peptide substrates for enzymes using machine learning
title_short Discovering de novo peptide substrates for enzymes using machine learning
title_full Discovering de novo peptide substrates for enzymes using machine learning
title_fullStr Discovering de novo peptide substrates for enzymes using machine learning
title_full_unstemmed Discovering de novo peptide substrates for enzymes using machine learning
title_sort discovering de novo peptide substrates for enzymes using machine learning
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/d9ae7a50ccf5436cb95b497dfe663903
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AT nathancgianneschi discoveringdenovopeptidesubstratesforenzymesusingmachinelearning
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