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Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates
Summary:The Evolutionary Trace Annotation (ETA) Server predicts enzymatic activity. ETA starts with a structure of unknown function, such as those from structural genomics, and with no prior knowledge of its mechanism uses the phylogenetic Evolutionary Trace (ET) method to extract key functional res...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2682511/ https://www.ncbi.nlm.nih.gov/pubmed/19307237 http://dx.doi.org/10.1093/bioinformatics/btp160 |
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author | Matthew Ward, R. Venner, Eric Daines, Bryce Murray, Stephen Erdin, Serkan Kristensen, David M. Lichtarge, Olivier |
author_facet | Matthew Ward, R. Venner, Eric Daines, Bryce Murray, Stephen Erdin, Serkan Kristensen, David M. Lichtarge, Olivier |
author_sort | Matthew Ward, R. |
collection | PubMed |
description | Summary:The Evolutionary Trace Annotation (ETA) Server predicts enzymatic activity. ETA starts with a structure of unknown function, such as those from structural genomics, and with no prior knowledge of its mechanism uses the phylogenetic Evolutionary Trace (ET) method to extract key functional residues and propose a function-associated 3D motif, called a 3D template. ETA then searches previously annotated structures for geometric template matches that suggest molecular and thus functional mimicry. In order to maximize the predictive value of these matches, ETA next applies distinctive specificity filters—evolutionary similarity, function plurality and match reciprocity. In large scale controls on enzymes, prediction coverage is 43% but the positive predictive value rises to 92%, thus minimizing false annotations. Users may modify any search parameter, including the template. ETA thus expands the ET suite for protein structure annotation, and can contribute to the annotation efforts of metaservers. Availability:The ETA Server is a web application available at http://mammoth.bcm.tmc.edu/eta/. Contact:lichtarge@bcm.edu |
format | Text |
id | pubmed-2682511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-26825112009-05-15 Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates Matthew Ward, R. Venner, Eric Daines, Bryce Murray, Stephen Erdin, Serkan Kristensen, David M. Lichtarge, Olivier Bioinformatics Applications Note Summary:The Evolutionary Trace Annotation (ETA) Server predicts enzymatic activity. ETA starts with a structure of unknown function, such as those from structural genomics, and with no prior knowledge of its mechanism uses the phylogenetic Evolutionary Trace (ET) method to extract key functional residues and propose a function-associated 3D motif, called a 3D template. ETA then searches previously annotated structures for geometric template matches that suggest molecular and thus functional mimicry. In order to maximize the predictive value of these matches, ETA next applies distinctive specificity filters—evolutionary similarity, function plurality and match reciprocity. In large scale controls on enzymes, prediction coverage is 43% but the positive predictive value rises to 92%, thus minimizing false annotations. Users may modify any search parameter, including the template. ETA thus expands the ET suite for protein structure annotation, and can contribute to the annotation efforts of metaservers. Availability:The ETA Server is a web application available at http://mammoth.bcm.tmc.edu/eta/. Contact:lichtarge@bcm.edu Oxford University Press 2009-06-01 2009-03-23 /pmc/articles/PMC2682511/ /pubmed/19307237 http://dx.doi.org/10.1093/bioinformatics/btp160 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 | Applications Note Matthew Ward, R. Venner, Eric Daines, Bryce Murray, Stephen Erdin, Serkan Kristensen, David M. Lichtarge, Olivier Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates |
title | Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates |
title_full | Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates |
title_fullStr | Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates |
title_full_unstemmed | Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates |
title_short | Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates |
title_sort | evolutionary trace annotation server: automated enzyme function prediction in protein structures using 3d templates |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2682511/ https://www.ncbi.nlm.nih.gov/pubmed/19307237 http://dx.doi.org/10.1093/bioinformatics/btp160 |
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