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dc.contributor.authorSchaefer, Christian
dc.contributor.authorSchlessinger, Avner
dc.contributor.authorRost, Burkhard
dc.date.accessioned2016-02-21T08:51:10Z
dc.date.available2016-02-21T08:51:10Z
dc.date.issued2010-01-16
dc.identifier.citationSchaefer C, Schlessinger A, Rost B (2010) Protein secondary structure appears to be robust under in silico evolution while protein disorder appears not to be. Bioinformatics 26: 625–631. Available: http://dx.doi.org/10.1093/bioinformatics/btq012.
dc.identifier.issn1367-4803
dc.identifier.issn1460-2059
dc.identifier.pmid20081223
dc.identifier.doi10.1093/bioinformatics/btq012
dc.identifier.urihttp://hdl.handle.net/10754/596813
dc.description.abstractMOTIVATION: The mutation of amino acids often impacts protein function and structure. Mutations without negative effect sustain evolutionary pressure. We study a particular aspect of structural robustness with respect to mutations: regular protein secondary structure and natively unstructured (intrinsically disordered) regions. Is the formation of regular secondary structure an intrinsic feature of amino acid sequences, or is it a feature that is lost upon mutation and is maintained by evolution against the odds? Similarly, is disorder an intrinsic sequence feature or is it difficult to maintain? To tackle these questions, we in silico mutated native protein sequences into random sequence-like ensembles and monitored the change in predicted secondary structure and disorder. RESULTS: We established that by our coarse-grained measures for change, predictions and observations were similar, suggesting that our results were not biased by prediction mistakes. Changes in secondary structure and disorder predictions were linearly proportional to the change in sequence. Surprisingly, neither the content nor the length distribution for the predicted secondary structure changed substantially. Regions with long disorder behaved differently in that significantly fewer such regions were predicted after a few mutation steps. Our findings suggest that the formation of regular secondary structure is an intrinsic feature of random amino acid sequences, while the formation of long-disordered regions is not an intrinsic feature of proteins with disordered regions. Put differently, helices and strands appear to be maintained easily by evolution, whereas maintaining disordered regions appears difficult. Neutral mutations with respect to disorder are therefore very unlikely.
dc.description.sponsorshipThe authors would like to thank the following for valuable discussions: Zsuzsanna Dosztanyi (Eötvös Loránd University Budapest and Columbia University in the City of New York), Dietlind Gerloff (UCSC Santa Cruz), Marco Punta (Columbia University in the City of New York and TUM Munich), Reinhard Schneider (EMBL Heidelberg), Anna Tramontano (La Sapienza Rome and KAUST); the anonymous reviewers for very constructive and helpful suggestions that helped shaping this work; and also to all those who deposit their experimental data in public databases and to those who maintain these databases, in particular to those who contribute to PDB and DisProt.
dc.publisherOxford University Press (OUP)
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.urihttp://creativecommons.org/licenses/by-nc/2.0/uk/
dc.subject.meshProtein Structure, Secondary
dc.titleProtein secondary structure appears to be robust under in silico evolution while protein disorder appears not to be.
dc.typeArticle
dc.identifier.journalBioinformatics
dc.identifier.pmcidPMC2828120
dc.contributor.institutionColumbia University in the City of New York, New York, United States
dc.contributor.institutionInstitute of Advanced Studies IAS, Garching bei Munchen, Germany
dc.contributor.institutionUniversity of California, San Francisco, San Francisco, United States
dc.contributor.institutionNorthEast Structural Genomics Consortium (NESG), New York, United States
refterms.dateFOA2018-06-13T12:07:53Z
dc.date.published-online2010-01-16
dc.date.published-print2010-03-01


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This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.