Evidence map›Paper›PMID 16216498›Full record

ArticleBioorganic & medicinal chemistry letters2005

Screening of electrophilic compounds yields an aziridinyl peptide as new active-site directed SARS-CoV main protease inhibitor.

Erika Martina, Nikolaus Stiefl, Björn Degel, Franziska Schulz, Alexander Breuning, Markus Schiller, Radim Vicik, Knut Baumann, John Ziebuhr, Tanja Schirmeister

Open access · bronzeAbstract read
In one paragraph

Article in Bioorganic & medicinal chemistry letters, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. CHARMM-GUIbioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Review
  4. Perspectives on SARS-CoV-2 Main Protease Inhibitors.Journal of medicinal chemistry · 2021
    Review
  5. Article
  6. Review
  7. Review
  8. Structural plasticity of SARS-CoV-2 3CL MNature communications · 2020
    Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV).Perspectives in medical virology · 2006
    Review
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

10 authors at 1 institution in 1 country.

Erika MartinaInstitute of Pharmacy and Food Chemistry, University of Würzburg, Germany.
Nikolaus Stiefl
Björn Degel
Franziska Schulz
Alexander Breuning
Markus Schiller
Radim Vicik
Knut Baumann
John Ziebuhr
Tanja Schirmeister
University of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus main protease, M(pro), is considered a major target for drugs suitable to combat coronavirus infections including the severe acute respiratory syndrome (SARS). In this study, comprehensive HPLC- and FRET-substrate-based screenings of various electrophilic compounds were performed to identify potential M(pro) inhibitors. The data revealed that the coronaviral main protease is inhibited by aziridine- and oxirane-2-carboxylates. Among the trans-configured aziridine-2,3-dicarboxylates the Gly-Gly-containing peptide 2c was found to be the most potent inhibitor.

Indexed as

AziridinesBinding SitesCoronavirus 3C ProteasesCysteine EndopeptidasesHumansPeptidesProtease InhibitorsSevere Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusViral ProteinsAziridinesCoronavirus 3C ProteasesCysteine EndopeptidasesPeptidesProtease InhibitorsViral Proteins

Identifiers

PMID16216498
PMCPMC7127417
OpenAlexW2173439185

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.