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EXIA2: Web Server of Accurate and Rapid Protein Catalytic Residue Prediction

We propose a method (EXIA2) of catalytic residue prediction based on protein structure without needing homology information. The method is based on the special side chain orientation of catalytic residues. We found that the side chain of catalytic residues usually points to the center of the catalyt...

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Detalles Bibliográficos
Autores principales: Lu, Chih-Hao, Yu, Chin-Sheng, Chien, Yu-Tung, Huang, Shao-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177735/
https://www.ncbi.nlm.nih.gov/pubmed/25295274
http://dx.doi.org/10.1155/2014/807839
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author Lu, Chih-Hao
Yu, Chin-Sheng
Chien, Yu-Tung
Huang, Shao-Wei
author_facet Lu, Chih-Hao
Yu, Chin-Sheng
Chien, Yu-Tung
Huang, Shao-Wei
author_sort Lu, Chih-Hao
collection PubMed
description We propose a method (EXIA2) of catalytic residue prediction based on protein structure without needing homology information. The method is based on the special side chain orientation of catalytic residues. We found that the side chain of catalytic residues usually points to the center of the catalytic site. The special orientation is usually observed in catalytic residues but not in noncatalytic residues, which usually have random side chain orientation. The method is shown to be the most accurate catalytic residue prediction method currently when combined with PSI-Blast sequence conservation. It performs better than other competing methods on several benchmark datasets that include over 1,200 enzyme structures. The areas under the ROC curve (AUC) on these benchmark datasets are in the range from 0.934 to 0.968.
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spelling pubmed-41777352014-10-07 EXIA2: Web Server of Accurate and Rapid Protein Catalytic Residue Prediction Lu, Chih-Hao Yu, Chin-Sheng Chien, Yu-Tung Huang, Shao-Wei Biomed Res Int Research Article We propose a method (EXIA2) of catalytic residue prediction based on protein structure without needing homology information. The method is based on the special side chain orientation of catalytic residues. We found that the side chain of catalytic residues usually points to the center of the catalytic site. The special orientation is usually observed in catalytic residues but not in noncatalytic residues, which usually have random side chain orientation. The method is shown to be the most accurate catalytic residue prediction method currently when combined with PSI-Blast sequence conservation. It performs better than other competing methods on several benchmark datasets that include over 1,200 enzyme structures. The areas under the ROC curve (AUC) on these benchmark datasets are in the range from 0.934 to 0.968. Hindawi Publishing Corporation 2014 2014-09-11 /pmc/articles/PMC4177735/ /pubmed/25295274 http://dx.doi.org/10.1155/2014/807839 Text en Copyright © 2014 Chih-Hao Lu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lu, Chih-Hao
Yu, Chin-Sheng
Chien, Yu-Tung
Huang, Shao-Wei
EXIA2: Web Server of Accurate and Rapid Protein Catalytic Residue Prediction
title EXIA2: Web Server of Accurate and Rapid Protein Catalytic Residue Prediction
title_full EXIA2: Web Server of Accurate and Rapid Protein Catalytic Residue Prediction
title_fullStr EXIA2: Web Server of Accurate and Rapid Protein Catalytic Residue Prediction
title_full_unstemmed EXIA2: Web Server of Accurate and Rapid Protein Catalytic Residue Prediction
title_short EXIA2: Web Server of Accurate and Rapid Protein Catalytic Residue Prediction
title_sort exia2: web server of accurate and rapid protein catalytic residue prediction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177735/
https://www.ncbi.nlm.nih.gov/pubmed/25295274
http://dx.doi.org/10.1155/2014/807839
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