A
Alexandre Gattiker
Researcher at Swiss Institute of Bioinformatics
Publications - 17
Citations - 8806
Alexandre Gattiker is an academic researcher from Swiss Institute of Bioinformatics. The author has contributed to research in topics: PROSITE & Genome. The author has an hindex of 14, co-authored 17 publications receiving 7816 citations.
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ExPASy: The proteomics server for in-depth protein knowledge and analysis.
Elisabeth Gasteiger,Alexandre Gattiker,Christine Hoogland,Ivan Ivanyi,Ron D. Appel,Amos Marc Bairoch +5 more
TL;DR: The ExPASy (the Expert Protein Analysis System) World Wide Web server, provided as a service to the life science community by a multidisciplinary team at the Swiss Institute of Bioinformatics, provides access to a variety of databases and analytical tools dedicated to proteins and proteomics.
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ScanProsite: detection of PROSITE signature matches and ProRule-associated functional and structural residues in proteins
Edouard de Castro,Christian J. A. Sigrist,Alexandre Gattiker,Virginie Bulliard,Petra S. Langendijk-Genevaux,Elisabeth Gasteiger,Amos Marc Bairoch,Nicolas Hulo +7 more
TL;DR: A new and improved version of the web-based tool for detecting PROSITE signature matches in protein sequences that makes use of ProRules—context-dependent annotation templates—to detect functional and structural intra-domain residues.
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PROSITE: A documented database using patterns and profiles as motif descriptors
Christian J. A. Sigrist,Lorenzo Cerutti,Nicolas Hulo,Alexandre Gattiker,Laurent Falquet,Marco Pagni,Amos Marc Bairoch,Philipp Bucher +7 more
TL;DR: The close relationship of PROSite with the SWISS-PROT protein database allows the evaluation of the sensitivity and specificity of the PROSITE motifs and their periodic reviewing.
Journal Article
ScanProsite: a reference implementation of a PROSITE scanning tool.
TL;DR: A strict definition of how a PROSITE pattern is to be scanned against a sequence is proposed, and a reference implementation of a tool to scan PROSite patterns, rules and profiles against protein sequences is provided.
Journal ArticleDOI
Recent improvements to the PROSITE database.
Nicolas Hulo,Christian J. A. Sigrist,Virginie Le Saux,Petra S. Langendijk-Genevaux,Lorenza Bordoli,Alexandre Gattiker,Edouard de Castro,Philipp Bucher,Amos Marc Bairoch +8 more
TL;DR: The PROSITE web page has been redesigned and several tools have been implemented to help the user discover new conserved regions in their own proteins and to visualize domain arrangements.