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D(2)P(2): database of disordered protein predictions
We present the Database of Disordered Protein Prediction (D(2)P(2)), available at http://d2p2.pro (including website source code). A battery of disorder predictors and their variants, VL-XT, VSL2b, PrDOS, PV2, Espritz and IUPred, were run on all protein sequences from 1765 complete proteomes (to be...
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/PMC3531159/ https://www.ncbi.nlm.nih.gov/pubmed/23203878 http://dx.doi.org/10.1093/nar/gks1226 |
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author | Oates, Matt E. Romero, Pedro Ishida, Takashi Ghalwash, Mohamed Mizianty, Marcin J. Xue, Bin Dosztányi, Zsuzsanna Uversky, Vladimir N. Obradovic, Zoran Kurgan, Lukasz Dunker, A. Keith Gough, Julian |
author_facet | Oates, Matt E. Romero, Pedro Ishida, Takashi Ghalwash, Mohamed Mizianty, Marcin J. Xue, Bin Dosztányi, Zsuzsanna Uversky, Vladimir N. Obradovic, Zoran Kurgan, Lukasz Dunker, A. Keith Gough, Julian |
author_sort | Oates, Matt E. |
collection | PubMed |
description | We present the Database of Disordered Protein Prediction (D(2)P(2)), available at http://d2p2.pro (including website source code). A battery of disorder predictors and their variants, VL-XT, VSL2b, PrDOS, PV2, Espritz and IUPred, were run on all protein sequences from 1765 complete proteomes (to be updated as more genomes are completed). Integrated with these results are all of the predicted (mostly structured) SCOP domains using the SUPERFAMILY predictor. These disorder/structure annotations together enable comparison of the disorder predictors with each other and examination of the overlap between disordered predictions and SCOP domains on a large scale. D(2)P(2) will increase our understanding of the interplay between disorder and structure, the genomic distribution of disorder, and its evolutionary history. The parsed data are made available in a unified format for download as flat files or SQL tables either by genome, by predictor, or for the complete set. An interactive website provides a graphical view of each protein annotated with the SCOP domains and disordered regions from all predictors overlaid (or shown as a consensus). There are statistics and tools for browsing and comparing genomes and their disorder within the context of their position on the tree of life. |
format | Online Article Text |
id | pubmed-3531159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35311592013-03-07 D(2)P(2): database of disordered protein predictions Oates, Matt E. Romero, Pedro Ishida, Takashi Ghalwash, Mohamed Mizianty, Marcin J. Xue, Bin Dosztányi, Zsuzsanna Uversky, Vladimir N. Obradovic, Zoran Kurgan, Lukasz Dunker, A. Keith Gough, Julian Nucleic Acids Res Articles We present the Database of Disordered Protein Prediction (D(2)P(2)), available at http://d2p2.pro (including website source code). A battery of disorder predictors and their variants, VL-XT, VSL2b, PrDOS, PV2, Espritz and IUPred, were run on all protein sequences from 1765 complete proteomes (to be updated as more genomes are completed). Integrated with these results are all of the predicted (mostly structured) SCOP domains using the SUPERFAMILY predictor. These disorder/structure annotations together enable comparison of the disorder predictors with each other and examination of the overlap between disordered predictions and SCOP domains on a large scale. D(2)P(2) will increase our understanding of the interplay between disorder and structure, the genomic distribution of disorder, and its evolutionary history. The parsed data are made available in a unified format for download as flat files or SQL tables either by genome, by predictor, or for the complete set. An interactive website provides a graphical view of each protein annotated with the SCOP domains and disordered regions from all predictors overlaid (or shown as a consensus). There are statistics and tools for browsing and comparing genomes and their disorder within the context of their position on the tree of life. Oxford University Press 2013-01 2012-11-29 /pmc/articles/PMC3531159/ /pubmed/23203878 http://dx.doi.org/10.1093/nar/gks1226 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 Oates, Matt E. Romero, Pedro Ishida, Takashi Ghalwash, Mohamed Mizianty, Marcin J. Xue, Bin Dosztányi, Zsuzsanna Uversky, Vladimir N. Obradovic, Zoran Kurgan, Lukasz Dunker, A. Keith Gough, Julian D(2)P(2): database of disordered protein predictions |
title | D(2)P(2): database of disordered protein predictions |
title_full | D(2)P(2): database of disordered protein predictions |
title_fullStr | D(2)P(2): database of disordered protein predictions |
title_full_unstemmed | D(2)P(2): database of disordered protein predictions |
title_short | D(2)P(2): database of disordered protein predictions |
title_sort | d(2)p(2): database of disordered protein predictions |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531159/ https://www.ncbi.nlm.nih.gov/pubmed/23203878 http://dx.doi.org/10.1093/nar/gks1226 |
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