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Biophysical and computational methods to analyze amino acid interaction networks in proteins

Globular proteins are held together by interacting networks of amino acid residues. A number of different structural and computational methods have been developed to interrogate these amino acid networks. In this review, we describe some of these methods, including analyses of X-ray crystallographic...

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Autores principales: O'Rourke, Kathleen F., Gorman, Scott D., Boehr, David D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4939391/
https://www.ncbi.nlm.nih.gov/pubmed/27441044
http://dx.doi.org/10.1016/j.csbj.2016.06.002
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author O'Rourke, Kathleen F.
Gorman, Scott D.
Boehr, David D.
author_facet O'Rourke, Kathleen F.
Gorman, Scott D.
Boehr, David D.
author_sort O'Rourke, Kathleen F.
collection PubMed
description Globular proteins are held together by interacting networks of amino acid residues. A number of different structural and computational methods have been developed to interrogate these amino acid networks. In this review, we describe some of these methods, including analyses of X-ray crystallographic data and structures, computer simulations, NMR data, and covariation among protein sequences, and indicate the critical insights that such methods provide into protein function. This information can be leveraged towards the design of new allosteric drugs, and the engineering of new protein function and protein regulation strategies.
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spelling pubmed-49393912016-07-20 Biophysical and computational methods to analyze amino acid interaction networks in proteins O'Rourke, Kathleen F. Gorman, Scott D. Boehr, David D. Comput Struct Biotechnol J Short Survey Globular proteins are held together by interacting networks of amino acid residues. A number of different structural and computational methods have been developed to interrogate these amino acid networks. In this review, we describe some of these methods, including analyses of X-ray crystallographic data and structures, computer simulations, NMR data, and covariation among protein sequences, and indicate the critical insights that such methods provide into protein function. This information can be leveraged towards the design of new allosteric drugs, and the engineering of new protein function and protein regulation strategies. Research Network of Computational and Structural Biotechnology 2016-06-22 /pmc/articles/PMC4939391/ /pubmed/27441044 http://dx.doi.org/10.1016/j.csbj.2016.06.002 Text en © 2016 Natrix Separations http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Short Survey
O'Rourke, Kathleen F.
Gorman, Scott D.
Boehr, David D.
Biophysical and computational methods to analyze amino acid interaction networks in proteins
title Biophysical and computational methods to analyze amino acid interaction networks in proteins
title_full Biophysical and computational methods to analyze amino acid interaction networks in proteins
title_fullStr Biophysical and computational methods to analyze amino acid interaction networks in proteins
title_full_unstemmed Biophysical and computational methods to analyze amino acid interaction networks in proteins
title_short Biophysical and computational methods to analyze amino acid interaction networks in proteins
title_sort biophysical and computational methods to analyze amino acid interaction networks in proteins
topic Short Survey
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4939391/
https://www.ncbi.nlm.nih.gov/pubmed/27441044
http://dx.doi.org/10.1016/j.csbj.2016.06.002
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