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Similarity Matrix of Proteins SIMAP


A database containing the similarity space formed by about all amino-acid sequences from public databases and completely sequenced genomes. SIMAP 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.

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SIMAP classification

SIMAP specifications

Restrictions to use:

SIMAP support


  • Thomas Rattei <>


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Terrence Donnelly Centre for Cellular and Biomolecular Research, Kim Lab, University of Toronto, Toronto, ON, Canada; CUBE—Division of Computational Systems Biology, Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria; Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Technische Universität München, Wissenschaftszentrum Weihenstephan, Neuherberg, Germany

Funding source(s)

University of Vienna

Link to literature

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