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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Published inNucleic acids research Vol. 36; no. suppl-1; pp. D289 - D292
Main Authors Rattei, Thomas, Tischler, Patrick, Arnold, Roland, Hamberger, Franz, Krebs, Jörg, Krumsiek, Jan, Wachinger, Benedikt, Stümpflen, Volker, Mewes, Werner
Format Journal Article
LanguageEnglish
Published England Oxford University Press 01.01.2008
Oxford Publishing Limited (England)
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Summary: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.
Bibliography:http://www.nar.oupjournals.org/
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ISSN:0305-1048
1362-4962
DOI:10.1093/nar/gkm963