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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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Formato: | Texto |
Lenguaje: | English |
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Libertas Academica
2008
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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. |
format | Text |
id | pubmed-2614197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT codonerfranciscom whyshouldwecareaboutmolecularcoevolution AT faresmarioa whyshouldwecareaboutmolecularcoevolution |