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eProS—a database and toolbox for investigating protein sequence–structure–function relationships through energy profiles
Gaining information about structural and functional features of newly identified proteins is often a difficult task. This information is crucial for understanding sequence–structure–function relationships of target proteins and, thus, essential in comprehending the mechanisms and dynamics of the mol...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531212/ https://www.ncbi.nlm.nih.gov/pubmed/23161695 http://dx.doi.org/10.1093/nar/gks1079 |
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author | Heinke, Florian Schildbach, Stefan Stockmann, Daniel Labudde, Dirk |
author_facet | Heinke, Florian Schildbach, Stefan Stockmann, Daniel Labudde, Dirk |
author_sort | Heinke, Florian |
collection | PubMed |
description | Gaining information about structural and functional features of newly identified proteins is often a difficult task. This information is crucial for understanding sequence–structure–function relationships of target proteins and, thus, essential in comprehending the mechanisms and dynamics of the molecular systems of interest. Using protein energy profiles is a novel approach that can contribute in addressing such problems. An energy profile corresponds to the sequence of energy values that are derived from a coarse-grained energy model. Energy profiles can be computed from protein structures or predicted from sequences. As shown, correspondences and dissimilarities in energy profiles can be applied for investigations of protein mechanics and dynamics. We developed eProS (energy profile suite, freely available at http://bioservices.hs-mittweida.de/Epros/), a database that provides ∼76 000 pre-calculated energy profiles as well as a toolbox for addressing numerous problems of structure biology. Energy profiles can be browsed, visualized, calculated from an uploaded structure or predicted from sequence. Furthermore, it is possible to align energy profiles of interest or compare them with all entries in the eProS database to identify significantly similar energy profiles and, thus, possibly relevant structural and functional relationships. Additionally, annotations and cross-links from numerous sources provide a broad view of potential biological correspondences. |
format | Online Article Text |
id | pubmed-3531212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35312122013-01-03 eProS—a database and toolbox for investigating protein sequence–structure–function relationships through energy profiles Heinke, Florian Schildbach, Stefan Stockmann, Daniel Labudde, Dirk Nucleic Acids Res Articles Gaining information about structural and functional features of newly identified proteins is often a difficult task. This information is crucial for understanding sequence–structure–function relationships of target proteins and, thus, essential in comprehending the mechanisms and dynamics of the molecular systems of interest. Using protein energy profiles is a novel approach that can contribute in addressing such problems. An energy profile corresponds to the sequence of energy values that are derived from a coarse-grained energy model. Energy profiles can be computed from protein structures or predicted from sequences. As shown, correspondences and dissimilarities in energy profiles can be applied for investigations of protein mechanics and dynamics. We developed eProS (energy profile suite, freely available at http://bioservices.hs-mittweida.de/Epros/), a database that provides ∼76 000 pre-calculated energy profiles as well as a toolbox for addressing numerous problems of structure biology. Energy profiles can be browsed, visualized, calculated from an uploaded structure or predicted from sequence. Furthermore, it is possible to align energy profiles of interest or compare them with all entries in the eProS database to identify significantly similar energy profiles and, thus, possibly relevant structural and functional relationships. Additionally, annotations and cross-links from numerous sources provide a broad view of potential biological correspondences. Oxford University Press 2013-01 2012-11-17 /pmc/articles/PMC3531212/ /pubmed/23161695 http://dx.doi.org/10.1093/nar/gks1079 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com. |
spellingShingle | Articles Heinke, Florian Schildbach, Stefan Stockmann, Daniel Labudde, Dirk eProS—a database and toolbox for investigating protein sequence–structure–function relationships through energy profiles |
title | eProS—a database and toolbox for investigating protein sequence–structure–function relationships through energy profiles |
title_full | eProS—a database and toolbox for investigating protein sequence–structure–function relationships through energy profiles |
title_fullStr | eProS—a database and toolbox for investigating protein sequence–structure–function relationships through energy profiles |
title_full_unstemmed | eProS—a database and toolbox for investigating protein sequence–structure–function relationships through energy profiles |
title_short | eProS—a database and toolbox for investigating protein sequence–structure–function relationships through energy profiles |
title_sort | epros—a database and toolbox for investigating protein sequence–structure–function relationships through energy profiles |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531212/ https://www.ncbi.nlm.nih.gov/pubmed/23161695 http://dx.doi.org/10.1093/nar/gks1079 |
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