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Computational protein design with backbone plasticity

The computational algorithms used in the design of artificial proteins have become increasingly sophisticated in recent years, producing a series of remarkable successes. The most dramatic of these is the de novo design of artificial enzymes. The majority of these designs have reused naturally occur...

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Detalles Bibliográficos
Autores principales: MacDonald, James T., Freemont, Paul S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5264498/
https://www.ncbi.nlm.nih.gov/pubmed/27911735
http://dx.doi.org/10.1042/BST20160155
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author MacDonald, James T.
Freemont, Paul S.
author_facet MacDonald, James T.
Freemont, Paul S.
author_sort MacDonald, James T.
collection PubMed
description The computational algorithms used in the design of artificial proteins have become increasingly sophisticated in recent years, producing a series of remarkable successes. The most dramatic of these is the de novo design of artificial enzymes. The majority of these designs have reused naturally occurring protein structures as ‘scaffolds’ onto which novel functionality can be grafted without having to redesign the backbone structure. The incorporation of backbone flexibility into protein design is a much more computationally challenging problem due to the greatly increased search space, but promises to remove the limitations of reusing natural protein scaffolds. In this review, we outline the principles of computational protein design methods and discuss recent efforts to consider backbone plasticity in the design process.
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spelling pubmed-52644982017-01-27 Computational protein design with backbone plasticity MacDonald, James T. Freemont, Paul S. Biochem Soc Trans Synthetic Biology The computational algorithms used in the design of artificial proteins have become increasingly sophisticated in recent years, producing a series of remarkable successes. The most dramatic of these is the de novo design of artificial enzymes. The majority of these designs have reused naturally occurring protein structures as ‘scaffolds’ onto which novel functionality can be grafted without having to redesign the backbone structure. The incorporation of backbone flexibility into protein design is a much more computationally challenging problem due to the greatly increased search space, but promises to remove the limitations of reusing natural protein scaffolds. In this review, we outline the principles of computational protein design methods and discuss recent efforts to consider backbone plasticity in the design process. Portland Press Ltd. 2016-10-15 2016-10-19 /pmc/articles/PMC5264498/ /pubmed/27911735 http://dx.doi.org/10.1042/BST20160155 Text en © 2016 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0) .
spellingShingle Synthetic Biology
MacDonald, James T.
Freemont, Paul S.
Computational protein design with backbone plasticity
title Computational protein design with backbone plasticity
title_full Computational protein design with backbone plasticity
title_fullStr Computational protein design with backbone plasticity
title_full_unstemmed Computational protein design with backbone plasticity
title_short Computational protein design with backbone plasticity
title_sort computational protein design with backbone plasticity
topic Synthetic Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5264498/
https://www.ncbi.nlm.nih.gov/pubmed/27911735
http://dx.doi.org/10.1042/BST20160155
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