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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...

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Autores principales: Rattei, Thomas, Tischler, Patrick, Arnold, Roland, Hamberger, Franz, Krebs, Jörg, Krumsiek, Jan, Wachinger, Benedikt, Stümpflen, Volker, Mewes, Werner
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
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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.
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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
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