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Why Should We Care About Molecular Coevolution?

Non-independent evolution of amino acid sites has become a noticeable limitation of most methods aimed at identifying selective constraints at functionally important amino acid sites or protein regions. The need for a generalised framework to account for non-independence of amino acid sites has fuel...

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Detalles Bibliográficos
Autores principales: Codoñer, Francisco M., Fares, Mario A.
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2614197/
https://www.ncbi.nlm.nih.gov/pubmed/19204805
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author Codoñer, Francisco M.
Fares, Mario A.
author_facet Codoñer, Francisco M.
Fares, Mario A.
author_sort Codoñer, Francisco M.
collection PubMed
description Non-independent evolution of amino acid sites has become a noticeable limitation of most methods aimed at identifying selective constraints at functionally important amino acid sites or protein regions. The need for a generalised framework to account for non-independence of amino acid sites has fuelled the design and development of new mathematical models and computational tools centred on resolving this problem. Molecular coevolution is one of the most active areas of research, with an increasing rate of new models and methods being developed everyday. Both parametric and non-parametric methods have been developed to account for correlated variability of amino acid sites. These methods have been utilised for detecting phylogenetic, functional and structural coevolution as well as to identify surfaces of amino acid sites involved in protein-protein interactions. Here we discuss and briefly describe these methods, and identify their advantages and limitations.
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spelling pubmed-26141972009-02-09 Why Should We Care About Molecular Coevolution? Codoñer, Francisco M. Fares, Mario A. Evol Bioinform Online Original Research Non-independent evolution of amino acid sites has become a noticeable limitation of most methods aimed at identifying selective constraints at functionally important amino acid sites or protein regions. The need for a generalised framework to account for non-independence of amino acid sites has fuelled the design and development of new mathematical models and computational tools centred on resolving this problem. Molecular coevolution is one of the most active areas of research, with an increasing rate of new models and methods being developed everyday. Both parametric and non-parametric methods have been developed to account for correlated variability of amino acid sites. These methods have been utilised for detecting phylogenetic, functional and structural coevolution as well as to identify surfaces of amino acid sites involved in protein-protein interactions. Here we discuss and briefly describe these methods, and identify their advantages and limitations. Libertas Academica 2008-02-14 /pmc/articles/PMC2614197/ /pubmed/19204805 Text en Copyright © 2008 The authors. http://creativecommons.org/licenses/by/3.0 This article is published under the Creative Commons Attribution By licence. For further information go to: http://creativecommons.org/licenses/by/3.0. (http://creativecommons.org/licenses/by/3.0)
spellingShingle Original Research
Codoñer, Francisco M.
Fares, Mario A.
Why Should We Care About Molecular Coevolution?
title Why Should We Care About Molecular Coevolution?
title_full Why Should We Care About Molecular Coevolution?
title_fullStr Why Should We Care About Molecular Coevolution?
title_full_unstemmed Why Should We Care About Molecular Coevolution?
title_short Why Should We Care About Molecular Coevolution?
title_sort why should we care about molecular coevolution?
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2614197/
https://www.ncbi.nlm.nih.gov/pubmed/19204805
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