Abstract
The Similarity Matrix of Proteins (SIMAP, http://mips.gsf.de/simap/) database has been designed to massively accelerate computationally expensive protein sequence analysis tasks in bioinformatics. It provides pre-calculated sequence similarities interconnecting the entire known protein sequence universe, complemented by pre-calculated protein features and domains, similarity clusters and functional annotations. SIMAP covers all major public protein databases as well as many consistently re-annotated metagenomes from different repositories. As of September 2013, SIMAP contains >163 million proteins corresponding to ∼70 million non-redundant sequences. SIMAP uses the sensitive FASTA search heuristics, the Smith-Waterman alignment algorithm, the InterPro database of protein domain models and the BLAST2GO functional annotation algorithm. SIMAP assists biologists by facilitating the interactive exploration of the protein sequence universe. Web-Service and DAS interfaces allow connecting SIMAP with any other bioinformatic tool and resource. All-against-all protein sequence similarity matrices of project-specific protein collections are generated on request. Recent improvements allow SIMAP to cover the rapidly growing sequenced protein sequence universe. New Web-Service interfaces enhance the connectivity of SIMAP. Novel tools for interactive extraction of protein similarity networks have been added. Open access to SIMAP is provided through the web portal; the portal also contains instructions and links for software access and flat file downloads.
Original language | English |
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Pages (from-to) | D279-D284 |
Number of pages | 6 |
Journal | Nucleic Acids Research |
Volume | 42 |
Issue number | D1 |
Early online date | 26 Oct 2013 |
DOIs | |
Publication status | Published - Jan 2014 |
Keywords
- Databases, Protein
- Internet
- Molecular Sequence Annotation
- Protein Structure, Tertiary
- Sequence Alignment
- Sequence Analysis, Protein
- User-Computer Interface
- Journal Article
- Research Support, Non-U.S. Gov't