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The DynaMine webserver: predicting protein dynamics from sequence
Protein dynamics are important for understanding protein function. Unfortunately, accurate protein dynamics information is difficult to obtain: here we present the DynaMine webserver, which provides predictions for the fast backbone movements of proteins directly from their amino-acid sequence. Dyna...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086073/ https://www.ncbi.nlm.nih.gov/pubmed/24728994 http://dx.doi.org/10.1093/nar/gku270 |
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author | Cilia, Elisa Pancsa, Rita Tompa, Peter Lenaerts, Tom Vranken, Wim F. |
author_facet | Cilia, Elisa Pancsa, Rita Tompa, Peter Lenaerts, Tom Vranken, Wim F. |
author_sort | Cilia, Elisa |
collection | PubMed |
description | Protein dynamics are important for understanding protein function. Unfortunately, accurate protein dynamics information is difficult to obtain: here we present the DynaMine webserver, which provides predictions for the fast backbone movements of proteins directly from their amino-acid sequence. DynaMine rapidly produces a profile describing the statistical potential for such movements at residue-level resolution. The predicted values have meaning on an absolute scale and go beyond the traditional binary classification of residues as ordered or disordered, thus allowing for direct dynamics comparisons between protein regions. Through this webserver, we provide molecular biologists with an efficient and easy to use tool for predicting the dynamical characteristics of any protein of interest, even in the absence of experimental observations. The prediction results are visualized and can be directly downloaded. The DynaMine webserver, including instructive examples describing the meaning of the profiles, is available at http://dynamine.ibsquare.be. |
format | Online Article Text |
id | pubmed-4086073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-40860732014-10-28 The DynaMine webserver: predicting protein dynamics from sequence Cilia, Elisa Pancsa, Rita Tompa, Peter Lenaerts, Tom Vranken, Wim F. Nucleic Acids Res Article Protein dynamics are important for understanding protein function. Unfortunately, accurate protein dynamics information is difficult to obtain: here we present the DynaMine webserver, which provides predictions for the fast backbone movements of proteins directly from their amino-acid sequence. DynaMine rapidly produces a profile describing the statistical potential for such movements at residue-level resolution. The predicted values have meaning on an absolute scale and go beyond the traditional binary classification of residues as ordered or disordered, thus allowing for direct dynamics comparisons between protein regions. Through this webserver, we provide molecular biologists with an efficient and easy to use tool for predicting the dynamical characteristics of any protein of interest, even in the absence of experimental observations. The prediction results are visualized and can be directly downloaded. The DynaMine webserver, including instructive examples describing the meaning of the profiles, is available at http://dynamine.ibsquare.be. Oxford University Press 2014-07-01 2014-04-11 /pmc/articles/PMC4086073/ /pubmed/24728994 http://dx.doi.org/10.1093/nar/gku270 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Article Cilia, Elisa Pancsa, Rita Tompa, Peter Lenaerts, Tom Vranken, Wim F. The DynaMine webserver: predicting protein dynamics from sequence |
title | The DynaMine webserver: predicting protein dynamics from sequence |
title_full | The DynaMine webserver: predicting protein dynamics from sequence |
title_fullStr | The DynaMine webserver: predicting protein dynamics from sequence |
title_full_unstemmed | The DynaMine webserver: predicting protein dynamics from sequence |
title_short | The DynaMine webserver: predicting protein dynamics from sequence |
title_sort | dynamine webserver: predicting protein dynamics from sequence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086073/ https://www.ncbi.nlm.nih.gov/pubmed/24728994 http://dx.doi.org/10.1093/nar/gku270 |
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