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Efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner

BACKGROUND: The total number of known three-dimensional protein structures is rapidly increasing. Consequently, the need for fast structural search against complete databases without a significant loss of accuracy is increasingly demanding. Recently, TopSearch, an ultra-fast method for finding rigid...

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Autores principales: Gutiérrez, Fernando I., Rodriguez-Valenzuela, Felipe, Ibarra, Ignacio L., Devos, Damien P., Melo, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702403/
https://www.ncbi.nlm.nih.gov/pubmed/26732380
http://dx.doi.org/10.1186/s12859-015-0866-8
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author Gutiérrez, Fernando I.
Rodriguez-Valenzuela, Felipe
Ibarra, Ignacio L.
Devos, Damien P.
Melo, Francisco
author_facet Gutiérrez, Fernando I.
Rodriguez-Valenzuela, Felipe
Ibarra, Ignacio L.
Devos, Damien P.
Melo, Francisco
author_sort Gutiérrez, Fernando I.
collection PubMed
description BACKGROUND: The total number of known three-dimensional protein structures is rapidly increasing. Consequently, the need for fast structural search against complete databases without a significant loss of accuracy is increasingly demanding. Recently, TopSearch, an ultra-fast method for finding rigid structural relationships between a query structure and the complete Protein Data Bank (PDB), at the multi-chain level, has been released. However, comparable accurate flexible structural aligners to perform efficient whole database searches of multi-domain proteins are not yet available. The availability of such a tool is critical for a sustainable boosting of biological discovery. RESULTS: Here we report on the development of a new method for the fast and flexible comparison of protein structure chains. The method relies on the calculation of 2D matrices containing a description of the three-dimensional arrangement of secondary structure elements (angles and distances). The comparison involves the matching of an ensemble of substructures through a nested-two-steps dynamic programming algorithm. The unique features of this new approach are the integration and trade-off balancing of the following: 1) speed, 2) accuracy and 3) global and semiglobal flexible structure alignment by integration of local substructure matching. The comparison, and matching with competitive accuracy, of one medium sized (250-aa) query structure against the complete PDB database (216,322 protein chains) takes about 8 min using an average desktop computer. The method is at least 2–3 orders of magnitude faster than other tested tools with similar accuracy. We validate the performance of the method for fold and superfamily assignment in a large benchmark set of protein structures. We finally provide a series of examples to illustrate the usefulness of this method and its application in biological discovery. CONCLUSIONS: The method is able to detect partial structure matching, rigid body shifts, conformational changes and tolerates substantial structural variation arising from insertions, deletions and sequence divergence, as well as structural convergence of unrelated proteins. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0866-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-47024032016-01-07 Efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner Gutiérrez, Fernando I. Rodriguez-Valenzuela, Felipe Ibarra, Ignacio L. Devos, Damien P. Melo, Francisco BMC Bioinformatics Methodology Article BACKGROUND: The total number of known three-dimensional protein structures is rapidly increasing. Consequently, the need for fast structural search against complete databases without a significant loss of accuracy is increasingly demanding. Recently, TopSearch, an ultra-fast method for finding rigid structural relationships between a query structure and the complete Protein Data Bank (PDB), at the multi-chain level, has been released. However, comparable accurate flexible structural aligners to perform efficient whole database searches of multi-domain proteins are not yet available. The availability of such a tool is critical for a sustainable boosting of biological discovery. RESULTS: Here we report on the development of a new method for the fast and flexible comparison of protein structure chains. The method relies on the calculation of 2D matrices containing a description of the three-dimensional arrangement of secondary structure elements (angles and distances). The comparison involves the matching of an ensemble of substructures through a nested-two-steps dynamic programming algorithm. The unique features of this new approach are the integration and trade-off balancing of the following: 1) speed, 2) accuracy and 3) global and semiglobal flexible structure alignment by integration of local substructure matching. The comparison, and matching with competitive accuracy, of one medium sized (250-aa) query structure against the complete PDB database (216,322 protein chains) takes about 8 min using an average desktop computer. The method is at least 2–3 orders of magnitude faster than other tested tools with similar accuracy. We validate the performance of the method for fold and superfamily assignment in a large benchmark set of protein structures. We finally provide a series of examples to illustrate the usefulness of this method and its application in biological discovery. CONCLUSIONS: The method is able to detect partial structure matching, rigid body shifts, conformational changes and tolerates substantial structural variation arising from insertions, deletions and sequence divergence, as well as structural convergence of unrelated proteins. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0866-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-05 /pmc/articles/PMC4702403/ /pubmed/26732380 http://dx.doi.org/10.1186/s12859-015-0866-8 Text en © Gutiérrez et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology Article
Gutiérrez, Fernando I.
Rodriguez-Valenzuela, Felipe
Ibarra, Ignacio L.
Devos, Damien P.
Melo, Francisco
Efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner
title Efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner
title_full Efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner
title_fullStr Efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner
title_full_unstemmed Efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner
title_short Efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner
title_sort efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702403/
https://www.ncbi.nlm.nih.gov/pubmed/26732380
http://dx.doi.org/10.1186/s12859-015-0866-8
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