Evidence map›Paper›PMID 14705960›Full record

ReviewThe Biochemical journal2004

Evolutionary families of peptidase inhibitors.

Neil D Rawlings, Dominic P Tolle, Alan J Barrett

Open access · greenAbstract readReview
In one paragraph

Review in The Biochemical journal, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 186 papers.

0numbers the graph read from it
0cells of the map it votes in
186citing papers in PubMed
10.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

186 citing papers in PubMed, 622 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Frontiers in bioinformatics · 2026
    Article
  5. Small Molecule Protease Inhibitors as Model Peptidomimetics.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  6. Article
  7. Article
  8. Evaluation of Anti-cancer Potential ofProtein and peptide letters · 2025
    Article
  9. Identification of Kunitz-Type Inhibitor Gene Family ofInternational journal of molecular sciences · 2024
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Journal of fungi (Basel, Switzerland) · 2023
    Article
  18. Article
  19. Article
  20. Article

126 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Neil D RawlingsThe Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK. ndr@sanger.ac.uk
Dominic P Tolle
Alan J Barrett
Wellcome Sanger Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The proteins that inhibit peptidases are of great importance in medicine and biotechnology, but there has never been a comprehensive system of classification for them. Some of the terminology currently in use is potentially confusing. In the hope of facilitating the exchange, storage and retrieval of information about this important group of proteins, we now describe a system wherein the inhibitor units of the peptidase inhibitors are assigned to 48 families on the basis of similarities detectable at the level of amino acid sequence. Then, on the basis of three-dimensional structures, 31 of the families are assigned to 26 clans. A simple system of nomenclature is introduced for reference to each clan, family and inhibitor. We briefly discuss the specificities and mechanisms of the interactions of the inhibitors in the various families with their target enzymes. The system of families and clans of inhibitors described has been implemented in the MEROPS peptidase database (http://merops.sanger.ac.uk/), and this will provide a mechanism for updating it as new information becomes available.

Indexed as

Biological EvolutionDisulfidesProtease InhibitorsProtein ConformationSequence Homology, Amino AcidTerminology as TopicDisulfidesProtease Inhibitors

Identifiers

PMID14705960
PMCPMC1224039
OpenAlexW1980996405

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.