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INTREPID: a web server for prediction of functionally important residues by evolutionary analysis

We present the INTREPID web server for predicting functionally important residues in proteins. INTREPID has been shown to boost the recall and precision of catalytic residue prediction over other sequence-based methods and can be used to identify other types of functional residues. The web server ta...

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Detalles Bibliográficos
Autores principales: Sankararaman, Sriram, Kolaczkowski, Bryan, Sjölander, Kimmen
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703888/
https://www.ncbi.nlm.nih.gov/pubmed/19443452
http://dx.doi.org/10.1093/nar/gkp339
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author Sankararaman, Sriram
Kolaczkowski, Bryan
Sjölander, Kimmen
author_facet Sankararaman, Sriram
Kolaczkowski, Bryan
Sjölander, Kimmen
author_sort Sankararaman, Sriram
collection PubMed
description We present the INTREPID web server for predicting functionally important residues in proteins. INTREPID has been shown to boost the recall and precision of catalytic residue prediction over other sequence-based methods and can be used to identify other types of functional residues. The web server takes an input protein sequence, gathers homologs, constructs a multiple sequence alignment and phylogenetic tree and finally runs the INTREPID method to assign a score to each position. Residues predicted to be functionally important are displayed on homologous 3D structures (where available), highlighting spatial patterns of conservation at various significance thresholds. The INTREPID web server is available at http://phylogenomics.berkeley.edu/intrepid.
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spelling pubmed-27038882009-07-01 INTREPID: a web server for prediction of functionally important residues by evolutionary analysis Sankararaman, Sriram Kolaczkowski, Bryan Sjölander, Kimmen Nucleic Acids Res Articles We present the INTREPID web server for predicting functionally important residues in proteins. INTREPID has been shown to boost the recall and precision of catalytic residue prediction over other sequence-based methods and can be used to identify other types of functional residues. The web server takes an input protein sequence, gathers homologs, constructs a multiple sequence alignment and phylogenetic tree and finally runs the INTREPID method to assign a score to each position. Residues predicted to be functionally important are displayed on homologous 3D structures (where available), highlighting spatial patterns of conservation at various significance thresholds. The INTREPID web server is available at http://phylogenomics.berkeley.edu/intrepid. Oxford University Press 2009-07-01 2009-05-13 /pmc/articles/PMC2703888/ /pubmed/19443452 http://dx.doi.org/10.1093/nar/gkp339 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Sankararaman, Sriram
Kolaczkowski, Bryan
Sjölander, Kimmen
INTREPID: a web server for prediction of functionally important residues by evolutionary analysis
title INTREPID: a web server for prediction of functionally important residues by evolutionary analysis
title_full INTREPID: a web server for prediction of functionally important residues by evolutionary analysis
title_fullStr INTREPID: a web server for prediction of functionally important residues by evolutionary analysis
title_full_unstemmed INTREPID: a web server for prediction of functionally important residues by evolutionary analysis
title_short INTREPID: a web server for prediction of functionally important residues by evolutionary analysis
title_sort intrepid: a web server for prediction of functionally important residues by evolutionary analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703888/
https://www.ncbi.nlm.nih.gov/pubmed/19443452
http://dx.doi.org/10.1093/nar/gkp339
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