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The AnnoLite and AnnoLyze programs for comparative annotation of protein structures
BACKGROUND: Advances in structural biology, including structural genomics, have resulted in a rapid increase in the number of experimentally determined protein structures. However, about half of the structures deposited by the structural genomics consortia have little or no information about their b...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892083/ https://www.ncbi.nlm.nih.gov/pubmed/17570147 http://dx.doi.org/10.1186/1471-2105-8-S4-S4 |
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author | Marti-Renom, Marc A Rossi, Andrea Al-Shahrour, Fátima Davis, Fred P Pieper, Ursula Dopazo, Joaquín Sali, Andrej |
author_facet | Marti-Renom, Marc A Rossi, Andrea Al-Shahrour, Fátima Davis, Fred P Pieper, Ursula Dopazo, Joaquín Sali, Andrej |
author_sort | Marti-Renom, Marc A |
collection | PubMed |
description | BACKGROUND: Advances in structural biology, including structural genomics, have resulted in a rapid increase in the number of experimentally determined protein structures. However, about half of the structures deposited by the structural genomics consortia have little or no information about their biological function. Therefore, there is a need for tools for automatically and comprehensively annotating the function of protein structures. We aim to provide such tools by applying comparative protein structure annotation that relies on detectable relationships between protein structures to transfer functional annotations. Here we introduce two programs, AnnoLite and AnnoLyze, which use the structural alignments deposited in the DBAli database. DESCRIPTION: AnnoLite predicts the SCOP, CATH, EC, InterPro, PfamA, and GO terms with an average sensitivity of ~90% and average precision of ~80%. AnnoLyze predicts ligand binding site and domain interaction patches with an average sensitivity of ~70% and average precision of ~30%, correctly localizing binding sites for small molecules in ~95% of its predictions. CONCLUSION: The AnnoLite and AnnoLyze programs for comparative annotation of protein structures can reliably and automatically annotate new protein structures. The programs are fully accessible via the Internet as part of the DBAli suite of tools at . |
format | Text |
id | pubmed-1892083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-18920832007-06-15 The AnnoLite and AnnoLyze programs for comparative annotation of protein structures Marti-Renom, Marc A Rossi, Andrea Al-Shahrour, Fátima Davis, Fred P Pieper, Ursula Dopazo, Joaquín Sali, Andrej BMC Bioinformatics Proceedings BACKGROUND: Advances in structural biology, including structural genomics, have resulted in a rapid increase in the number of experimentally determined protein structures. However, about half of the structures deposited by the structural genomics consortia have little or no information about their biological function. Therefore, there is a need for tools for automatically and comprehensively annotating the function of protein structures. We aim to provide such tools by applying comparative protein structure annotation that relies on detectable relationships between protein structures to transfer functional annotations. Here we introduce two programs, AnnoLite and AnnoLyze, which use the structural alignments deposited in the DBAli database. DESCRIPTION: AnnoLite predicts the SCOP, CATH, EC, InterPro, PfamA, and GO terms with an average sensitivity of ~90% and average precision of ~80%. AnnoLyze predicts ligand binding site and domain interaction patches with an average sensitivity of ~70% and average precision of ~30%, correctly localizing binding sites for small molecules in ~95% of its predictions. CONCLUSION: The AnnoLite and AnnoLyze programs for comparative annotation of protein structures can reliably and automatically annotate new protein structures. The programs are fully accessible via the Internet as part of the DBAli suite of tools at . BioMed Central 2007-05-22 /pmc/articles/PMC1892083/ /pubmed/17570147 http://dx.doi.org/10.1186/1471-2105-8-S4-S4 Text en Copyright © 2007 Marti-Renom et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Proceedings Marti-Renom, Marc A Rossi, Andrea Al-Shahrour, Fátima Davis, Fred P Pieper, Ursula Dopazo, Joaquín Sali, Andrej The AnnoLite and AnnoLyze programs for comparative annotation of protein structures |
title | The AnnoLite and AnnoLyze programs for comparative annotation of protein structures |
title_full | The AnnoLite and AnnoLyze programs for comparative annotation of protein structures |
title_fullStr | The AnnoLite and AnnoLyze programs for comparative annotation of protein structures |
title_full_unstemmed | The AnnoLite and AnnoLyze programs for comparative annotation of protein structures |
title_short | The AnnoLite and AnnoLyze programs for comparative annotation of protein structures |
title_sort | annolite and annolyze programs for comparative annotation of protein structures |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892083/ https://www.ncbi.nlm.nih.gov/pubmed/17570147 http://dx.doi.org/10.1186/1471-2105-8-S4-S4 |
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