| Protein co-evolution: how do we combine bioinformatics and experimental approaches? | |
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MedLine Citation:
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PMID: 23151606 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Molecular co-evolution is manifested by compensatory changes in proteins designed to enable adaptation to their natural environment. In recent years, bioinformatics approaches allowed for the detection of co-evolution at the level of the whole protein or of specific residues. Such efforts enabled prediction of protein-protein interactions, functional assignments of proteins and the identification of interacting residues, thereby providing information on protein structure. Still, despite such advances, relatively little is known regarding the functional implications of sequence divergence resulting from protein co-evolution. While bioinformatics approaches usually analyze thousands of proteins to obtain a broad view of protein co-evolution, experimental evaluation of protein co-evolution serves to study only individual proteins. In this review, we describe recent advances in bioinformatics and experimental efforts aimed at examining protein co-evolution. Accordingly, we discuss possible modes of crosstalk between the bioinformatics and experimental approaches to facilitate the identification of co-evolutionary signals in proteins and to understand their implications for the structure and function of proteins. |
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Authors:
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Inga Sandler; Mehtap Abu-Qarn; Amir Aharoni |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-11-15 |
Journal Detail:
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Title: Molecular bioSystems Volume: - ISSN: 1742-2051 ISO Abbreviation: Mol Biosyst Publication Date: 2012 Nov |
Date Detail:
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Created Date: 2012-11-15 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101251620 Medline TA: Mol Biosyst Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Department of Life Sciences, Ben-Gurion University of the Negev, Be'er Sheva 84105, Israel. aaharoni@bgu.ac.il. |
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