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ORION: a web server for protein fold recognition and structure prediction using evolutionary hybrid profiles

Protein structure prediction based on comparative modeling is the most efficient way to produce structural models when it can be performed. ORION is a dedicated webserver based on a new strategy that performs this task. The identification by ORION of suitable templates is performed using an original...

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Autores principales: Ghouzam, Yassine, Postic, Guillaume, Guerin, Pierre-Edouard, de Brevern, Alexandre G., Gelly, Jean-Christophe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913311/
https://www.ncbi.nlm.nih.gov/pubmed/27319297
http://dx.doi.org/10.1038/srep28268
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author Ghouzam, Yassine
Postic, Guillaume
Guerin, Pierre-Edouard
de Brevern, Alexandre G.
Gelly, Jean-Christophe
author_facet Ghouzam, Yassine
Postic, Guillaume
Guerin, Pierre-Edouard
de Brevern, Alexandre G.
Gelly, Jean-Christophe
author_sort Ghouzam, Yassine
collection PubMed
description Protein structure prediction based on comparative modeling is the most efficient way to produce structural models when it can be performed. ORION is a dedicated webserver based on a new strategy that performs this task. The identification by ORION of suitable templates is performed using an original profile-profile approach that combines sequence and structure evolution information. Structure evolution information is encoded into profiles using structural features, such as solvent accessibility and local conformation —with Protein Blocks—, which give an accurate description of the local protein structure. ORION has recently been improved, increasing by 5% the quality of its results. The ORION web server accepts a single protein sequence as input and searches homologous protein structures within minutes. Various databases such as PDB, SCOP and HOMSTRAD can be mined to find an appropriate structural template. For the modeling step, a protein 3D structure can be directly obtained from the selected template by MODELLER and displayed with global and local quality model estimation measures. The sequence and the predicted structure of 4 examples from the CAMEO server and a recent CASP11 target from the ‘Hard’ category (T0818-D1) are shown as pertinent examples. Our web server is accessible at http://www.dsimb.inserm.fr/ORION/.
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spelling pubmed-49133112016-06-21 ORION: a web server for protein fold recognition and structure prediction using evolutionary hybrid profiles Ghouzam, Yassine Postic, Guillaume Guerin, Pierre-Edouard de Brevern, Alexandre G. Gelly, Jean-Christophe Sci Rep Article Protein structure prediction based on comparative modeling is the most efficient way to produce structural models when it can be performed. ORION is a dedicated webserver based on a new strategy that performs this task. The identification by ORION of suitable templates is performed using an original profile-profile approach that combines sequence and structure evolution information. Structure evolution information is encoded into profiles using structural features, such as solvent accessibility and local conformation —with Protein Blocks—, which give an accurate description of the local protein structure. ORION has recently been improved, increasing by 5% the quality of its results. The ORION web server accepts a single protein sequence as input and searches homologous protein structures within minutes. Various databases such as PDB, SCOP and HOMSTRAD can be mined to find an appropriate structural template. For the modeling step, a protein 3D structure can be directly obtained from the selected template by MODELLER and displayed with global and local quality model estimation measures. The sequence and the predicted structure of 4 examples from the CAMEO server and a recent CASP11 target from the ‘Hard’ category (T0818-D1) are shown as pertinent examples. Our web server is accessible at http://www.dsimb.inserm.fr/ORION/. Nature Publishing Group 2016-06-20 /pmc/articles/PMC4913311/ /pubmed/27319297 http://dx.doi.org/10.1038/srep28268 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Ghouzam, Yassine
Postic, Guillaume
Guerin, Pierre-Edouard
de Brevern, Alexandre G.
Gelly, Jean-Christophe
ORION: a web server for protein fold recognition and structure prediction using evolutionary hybrid profiles
title ORION: a web server for protein fold recognition and structure prediction using evolutionary hybrid profiles
title_full ORION: a web server for protein fold recognition and structure prediction using evolutionary hybrid profiles
title_fullStr ORION: a web server for protein fold recognition and structure prediction using evolutionary hybrid profiles
title_full_unstemmed ORION: a web server for protein fold recognition and structure prediction using evolutionary hybrid profiles
title_short ORION: a web server for protein fold recognition and structure prediction using evolutionary hybrid profiles
title_sort orion: a web server for protein fold recognition and structure prediction using evolutionary hybrid profiles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913311/
https://www.ncbi.nlm.nih.gov/pubmed/27319297
http://dx.doi.org/10.1038/srep28268
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