MEROPS: the database of proteolytic enzymes, their substrates and inhibitors

By Neil D. Rawlings, Alan J. Barrett, Alex Bateman. Nucleic Acids Res., 2011

667 citations recorded by the source corpus.

Peptidases, their substrates and inhibitors are of great relevance to biology, medicine and biotechnology. The MEROPS database (http://merops.sanger.ac.uk) aims to fulfil the need for an integrated source of information about these. The database has hierarchical classifications in which homologous sets of peptidases and protein inhibitors are grouped into protein species, which are grouped into families, which are in turn grouped into clans. The database has been expanded to include proteolytic enzymes other than peptidases. Special identifiers for peptidases from a variety of model organisms have been established so that orthologues can be detected in other species. A table of predicted active-site residue and metal ligand positions and the residue ranges of the peptidase domains in orthologues has been added to each peptidase summary. New displays of tertiary structures, which can be rotated or have the surfaces displayed, have been added to the structure pages. New indexes for gene names and peptidase substrates have been made available. Among the enhancements to existing features are the inclusion of small-molecule inhibitors in the tables of peptidase–inhibitor interactions, a table of known cleavage sites for each protein substrate, and tables showing the substrate-binding preferences of peptidases derived from combinatorial peptide substrate libraries.

Subfields: Biotechnology, Materials Chemistry, Oncology

View Paper: https://www.semanticscholar.org/paper/999db6b11c1fe6377118081c84f79f6ae6b4262d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

  1. Julian E. Fuchs
  2. Susanne von Grafenstein
  3. Roland G. Huber
  4. Michael A. Margreiter
  5. Gudrun M. Spitzer
  6. Klaus R. Liedl
  7. Hannes G. Wallnoefer

Citations in the corpus