Cargando…
SAS-Pro: Simultaneous Residue Assignment and Structure Superposition for Protein Structure Alignment
Protein structure alignment is the problem of determining an assignment between the amino-acid residues of two given proteins in a way that maximizes a measure of similarity between the two superimposed protein structures. By identifying geometric similarities, structure alignment algorithms provide...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3360771/ https://www.ncbi.nlm.nih.gov/pubmed/22662161 http://dx.doi.org/10.1371/journal.pone.0037493 |
_version_ | 1782234050692382720 |
---|---|
author | Shah, Shweta B. Sahinidis, Nikolaos V. |
author_facet | Shah, Shweta B. Sahinidis, Nikolaos V. |
author_sort | Shah, Shweta B. |
collection | PubMed |
description | Protein structure alignment is the problem of determining an assignment between the amino-acid residues of two given proteins in a way that maximizes a measure of similarity between the two superimposed protein structures. By identifying geometric similarities, structure alignment algorithms provide critical insights into protein functional similarities. Existing structure alignment tools adopt a two-stage approach to structure alignment by decoupling and iterating between the assignment evaluation and structure superposition problems. We introduce a novel approach, SAS-Pro, which addresses the assignment evaluation and structure superposition simultaneously by formulating the alignment problem as a single bilevel optimization problem. The new formulation does not require the sequentiality constraints, thus generalizing the scope of the alignment methodology to include non-sequential protein alignments. We employ derivative-free optimization methodologies for searching for the global optimum of the highly nonlinear and non-differentiable RMSD function encountered in the proposed model. Alignments obtained with SAS-Pro have better RMSD values and larger lengths than those obtained from other alignment tools. For non-sequential alignment problems, SAS-Pro leads to alignments with high degree of similarity with known reference alignments. The source code of SAS-Pro is available for download at http://eudoxus.cheme.cmu.edu/saspro/SAS-Pro.html. |
format | Online Article Text |
id | pubmed-3360771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33607712012-06-01 SAS-Pro: Simultaneous Residue Assignment and Structure Superposition for Protein Structure Alignment Shah, Shweta B. Sahinidis, Nikolaos V. PLoS One Research Article Protein structure alignment is the problem of determining an assignment between the amino-acid residues of two given proteins in a way that maximizes a measure of similarity between the two superimposed protein structures. By identifying geometric similarities, structure alignment algorithms provide critical insights into protein functional similarities. Existing structure alignment tools adopt a two-stage approach to structure alignment by decoupling and iterating between the assignment evaluation and structure superposition problems. We introduce a novel approach, SAS-Pro, which addresses the assignment evaluation and structure superposition simultaneously by formulating the alignment problem as a single bilevel optimization problem. The new formulation does not require the sequentiality constraints, thus generalizing the scope of the alignment methodology to include non-sequential protein alignments. We employ derivative-free optimization methodologies for searching for the global optimum of the highly nonlinear and non-differentiable RMSD function encountered in the proposed model. Alignments obtained with SAS-Pro have better RMSD values and larger lengths than those obtained from other alignment tools. For non-sequential alignment problems, SAS-Pro leads to alignments with high degree of similarity with known reference alignments. The source code of SAS-Pro is available for download at http://eudoxus.cheme.cmu.edu/saspro/SAS-Pro.html. Public Library of Science 2012-05-25 /pmc/articles/PMC3360771/ /pubmed/22662161 http://dx.doi.org/10.1371/journal.pone.0037493 Text en Shah, Sahinidis. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Shah, Shweta B. Sahinidis, Nikolaos V. SAS-Pro: Simultaneous Residue Assignment and Structure Superposition for Protein Structure Alignment |
title | SAS-Pro: Simultaneous Residue Assignment and Structure Superposition for Protein Structure Alignment |
title_full | SAS-Pro: Simultaneous Residue Assignment and Structure Superposition for Protein Structure Alignment |
title_fullStr | SAS-Pro: Simultaneous Residue Assignment and Structure Superposition for Protein Structure Alignment |
title_full_unstemmed | SAS-Pro: Simultaneous Residue Assignment and Structure Superposition for Protein Structure Alignment |
title_short | SAS-Pro: Simultaneous Residue Assignment and Structure Superposition for Protein Structure Alignment |
title_sort | sas-pro: simultaneous residue assignment and structure superposition for protein structure alignment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3360771/ https://www.ncbi.nlm.nih.gov/pubmed/22662161 http://dx.doi.org/10.1371/journal.pone.0037493 |
work_keys_str_mv | AT shahshwetab sasprosimultaneousresidueassignmentandstructuresuperpositionforproteinstructurealignment AT sahinidisnikolaosv sasprosimultaneousresidueassignmentandstructuresuperpositionforproteinstructurealignment |