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 in | Nucleic acids research Vol. 36; no. suppl-1; pp. D289 - D292 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
01.01.2008
Oxford Publishing Limited (England) |
Subjects | |
Online Access | Get full text |
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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. |
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Bibliography: | http://www.nar.oupjournals.org/ ark:/67375/HXZ-LQ31BKF5-N istex:83B09F6FA48DF147B994BCD1D344E0D7257D240D ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0305-1048 1362-4962 |
DOI: | 10.1093/nar/gkm963 |