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Analyzing the symmetrical arrangement of structural repeats in proteins with CE-Symm.
Bliven, Spencer E; Lafita, Aleix; Rose, Peter W; Capitani, Guido; Prlic, Andreas; Bourne, Philip E.
Afiliação
  • Bliven SE; Laboratory of Biomolecular Research, Paul Scherrer Institute, Villigen, Switzerland.
  • Lafita A; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America.
  • Rose PW; Institute of Applied Simulation, Zurich University of Applied Science, Wädenswil, Switzerland.
  • Capitani G; Laboratory of Biomolecular Research, Paul Scherrer Institute, Villigen, Switzerland.
  • Prlic A; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Bourne PE; European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, United Kingdom.
PLoS Comput Biol ; 15(4): e1006842, 2019 04.
Article em En | MEDLINE | ID: mdl-31009453
ABSTRACT
Many proteins fold into highly regular and repetitive three dimensional structures. The analysis of structural patterns and repeated elements is fundamental to understand protein function and evolution. We present recent improvements to the CE-Symm tool for systematically detecting and analyzing the internal symmetry and structural repeats in proteins. In addition to the accurate detection of internal symmetry, the tool is now capable of i) reporting the type of symmetry, ii) identifying the smallest repeating unit, iii) describing the arrangement of repeats with transformation operations and symmetry axes, and iv) comparing the similarity of all the internal repeats at the residue level. CE-Symm 2.0 helps the user investigate proteins with a robust and intuitive sequence-to-structure analysis, with many applications in protein classification, functional annotation and evolutionary studies. We describe the algorithmic extensions of the method and demonstrate its applications to the study of interesting cases of protein evolution.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Software / Proteínas / Biologia Computacional Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Software / Proteínas / Biologia Computacional Idioma: En Ano de publicação: 2019 Tipo de documento: Article