Cargando…
SIMAP—structuring the network of protein similarities
Protein sequences are the most important source of evolutionary and functional information for new proteins. In order to facilitate the computationally intensive tasks of sequence analysis, the Similarity Matrix of Proteins (SIMAP) database aims to provide a comprehensive and up-to-date dataset of t...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238827/ https://www.ncbi.nlm.nih.gov/pubmed/18037617 http://dx.doi.org/10.1093/nar/gkm963 |
_version_ | 1782150469212176384 |
---|---|
author | Rattei, Thomas Tischler, Patrick Arnold, Roland Hamberger, Franz Krebs, Jörg Krumsiek, Jan Wachinger, Benedikt Stümpflen, Volker Mewes, Werner |
author_facet | Rattei, Thomas Tischler, Patrick Arnold, Roland Hamberger, Franz Krebs, Jörg Krumsiek, Jan Wachinger, Benedikt Stümpflen, Volker Mewes, Werner |
author_sort | Rattei, Thomas |
collection | PubMed |
description | Protein sequences are the most important source of evolutionary and functional information for new proteins. In order to facilitate the computationally intensive tasks of sequence analysis, the Similarity Matrix of Proteins (SIMAP) database aims to provide a comprehensive and up-to-date dataset of the pre-calculated sequence similarity matrix and sequence-based features like InterPro domains for all proteins contained in the major public sequence databases. As of September 2007, SIMAP covers ∼17 million proteins and more than 6 million non-redundant sequences and provides a complete annotation based on InterPro 16. Novel features of SIMAP include a new, portlet-based web portal providing multiple, structured views on retrieved proteins and integration of protein clusters and a unique search method for similar domain architectures. Access to SIMAP is freely provided for academic use through the web portal for individuals at http://mips.gsf.de/simap/and through Web Services for programmatic access at http://mips.gsf.de/webservices/services/SimapService2.0?wsdl. |
format | Text |
id | pubmed-2238827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-22388272008-02-12 SIMAP—structuring the network of protein similarities Rattei, Thomas Tischler, Patrick Arnold, Roland Hamberger, Franz Krebs, Jörg Krumsiek, Jan Wachinger, Benedikt Stümpflen, Volker Mewes, Werner Nucleic Acids Res Articles Protein sequences are the most important source of evolutionary and functional information for new proteins. In order to facilitate the computationally intensive tasks of sequence analysis, the Similarity Matrix of Proteins (SIMAP) database aims to provide a comprehensive and up-to-date dataset of the pre-calculated sequence similarity matrix and sequence-based features like InterPro domains for all proteins contained in the major public sequence databases. As of September 2007, SIMAP covers ∼17 million proteins and more than 6 million non-redundant sequences and provides a complete annotation based on InterPro 16. Novel features of SIMAP include a new, portlet-based web portal providing multiple, structured views on retrieved proteins and integration of protein clusters and a unique search method for similar domain architectures. Access to SIMAP is freely provided for academic use through the web portal for individuals at http://mips.gsf.de/simap/and through Web Services for programmatic access at http://mips.gsf.de/webservices/services/SimapService2.0?wsdl. Oxford University Press 2008-01 2007-11-23 /pmc/articles/PMC2238827/ /pubmed/18037617 http://dx.doi.org/10.1093/nar/gkm963 Text en © 2007 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 | Articles Rattei, Thomas Tischler, Patrick Arnold, Roland Hamberger, Franz Krebs, Jörg Krumsiek, Jan Wachinger, Benedikt Stümpflen, Volker Mewes, Werner SIMAP—structuring the network of protein similarities |
title | SIMAP—structuring the network of protein similarities |
title_full | SIMAP—structuring the network of protein similarities |
title_fullStr | SIMAP—structuring the network of protein similarities |
title_full_unstemmed | SIMAP—structuring the network of protein similarities |
title_short | SIMAP—structuring the network of protein similarities |
title_sort | simap—structuring the network of protein similarities |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238827/ https://www.ncbi.nlm.nih.gov/pubmed/18037617 http://dx.doi.org/10.1093/nar/gkm963 |
work_keys_str_mv | AT ratteithomas simapstructuringthenetworkofproteinsimilarities AT tischlerpatrick simapstructuringthenetworkofproteinsimilarities AT arnoldroland simapstructuringthenetworkofproteinsimilarities AT hambergerfranz simapstructuringthenetworkofproteinsimilarities AT krebsjorg simapstructuringthenetworkofproteinsimilarities AT krumsiekjan simapstructuringthenetworkofproteinsimilarities AT wachingerbenedikt simapstructuringthenetworkofproteinsimilarities AT stumpflenvolker simapstructuringthenetworkofproteinsimilarities AT meweswerner simapstructuringthenetworkofproteinsimilarities |