Literature DB >> 24681267

Systematic detection of internal symmetry in proteins using CE-Symm.

Douglas Myers-Turnbull1, Spencer E Bliven2, Peter W Rose3, Zaid K Aziz4, Philippe Youkharibache5, Philip E Bourne6, Andreas Prlić7.   

Abstract

Symmetry is an important feature of protein tertiary and quaternary structures that has been associated with protein folding, function, evolution, and stability. Its emergence and ensuing prevalence has been attributed to gene duplications, fusion events, and subsequent evolutionary drift in sequence. This process maintains structural similarity and is further supported by this study. To further investigate the question of how internal symmetry evolved, how symmetry and function are related, and the overall frequency of internal symmetry, we developed an algorithm, CE-Symm, to detect pseudo-symmetry within the tertiary structure of protein chains. Using a large manually curated benchmark of 1007 protein domains, we show that CE-Symm performs significantly better than previous approaches. We use CE-Symm to build a census of symmetry among domain superfamilies in SCOP and note that 18% of all superfamilies are pseudo-symmetric. Our results indicate that more domains are pseudo-symmetric than previously estimated. We establish a number of recurring types of symmetry-function relationships and describe several characteristic cases in detail. With the use of the Enzyme Commission classification, symmetry was found to be enriched in some enzyme classes but depleted in others. CE-Symm thus provides a methodology for a more complete and detailed study of the role of symmetry in tertiary protein structure [availability: CE-Symm can be run from the Web at http://source.rcsb.org/jfatcatserver/symmetry.jsp. Source code and software binaries are also available under the GNU Lesser General Public License (version 2.1) at https://github.com/rcsb/symmetry. An interactive census of domains identified as symmetric by CE-Symm is available from http://source.rcsb.org/jfatcatserver/scopResults.jsp].
Copyright © 2014. Published by Elsevier Ltd.

Entities:  

Keywords:  protein evolution; protein function; pseudo-symmetry; structural biology; symmetry detection

Mesh:

Year:  2014        PMID: 24681267      PMCID: PMC4456030          DOI: 10.1016/j.jmb.2014.03.010

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  65 in total

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  20 in total

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8.  MemSTATS: A Benchmark Set of Membrane Protein Symmetries and Pseudosymmetries.

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