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Uniclust | Databases of clustered and deeply annotated protein sequences and alignments


Analyses protein sequence, predicts function and searches sequence. Uniclust databases cluster UniProtKB sequences at the level of 90%, 50% and 30% pairwise sequence identity. The sequences in the database are annotated with matches to Pfam, SCOP domains, and proteins in the protein data bank (PDB), using our HHblits homology detection tool. The database contains 17% more Pfam domain annotations than UniProt. The Uniclust server facilitates profiting from the Uniclust databases and deep HHblits domain annotations.

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Uniclust classification

Uniclust specifications

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File download, Browse

Uniclust support



  • Martin Steinegger <>


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Quantitative and Computational Biology Group, Max Planck Institute for Biophysical Chemistry, Gottingen, Germany; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Cambridge, UK; Department for Bioinformatics and Computational Biology, Technische Universität Munchen, Munich, Germany; Department of Chemistry, Seoul National University, Seoul, Korea

Funding source(s)

Supported by European Research Council in the framework of its Horizon 2020 Framework Programme for Research and Innovation [‘Virus-X’, project no. 685778]; German Federal Ministry of Education and Research (BMBF) within the frameworks of e:Med and e:Bio [e:AtheroSysMed 01ZX1313D, SysCore 0316176A].

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