Evidence map›Paper›PMID 31803403›Full record

ArticleMedChemComm2019

Piperidine carbamate peptidomimetic inhibitors of the serine proteases HGFA, matriptase and hepsin.

Vishnu C Damalanka, Scott A Wildman, James W Janetka

Open access · bronzeAbstract read
In one paragraph

Article in MedChemComm, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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  6. A novel class of TMPRSS2 inhibitors potently block SARS-CoV-2 and MERS-CoV viral entry and protect human epithelial lung cells.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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 2 institutions in 2 countries.

Vishnu C DamalankaDepartment of Biochemistry and Molecular Biophysics , Washington University School of Medicine , St. Louis , Missouri , USA . Email: janetkaj@wustl.edu ; Tel: +314 362 0509.ORCID 0000-0002-1946-1320
Scott A WildmanUniversity of Wisconsin Carbone Cancer Center , Drug Development Core , University of Wisconsin-Madison , Madison , Wisconsin , USA.ORCID 0000-0002-8598-0751
James W JanetkaDepartment of Biochemistry and Molecular Biophysics , Washington University School of Medicine , St. Louis , Missouri , USA . Email: janetkaj@wustl.edu ; Tel: +314 362 0509.ORCID 0000-0002-9888-5411
Washington University in St. Louis · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Matriptase and hepsin are type II transmembrane serine proteases (TTSPs). Along with related S1 trypsin like serine protease HGFA (hepatocyte growth factor activator), their unregulated proteolytic activity has been associated with cancer including tumor progression and metastasis. These three proteases have two substrates in common, hepatocyte growth factor (HGF) and macrophage stimulating protein (MSP), the ligands for MET and recepteur d'origine nantais (RON) receptor tyrosine kinases. Mechanism-based tetrapeptide and benzamidine inhibitors of these proteases have been shown to block HGF/MET and MSP/RON cancer cell signaling. Herein, we have rationally designed a new class of peptidomimetic hybrid small molecule piperidine carbamate dipeptide inhibitors comparable in potency to much larger tetrapeptides. We have identified multiple compounds which have potent activity against matriptase and hepsin and with excellent selectivity over the off-target serine proteases factor Xa and thrombin.

Identifiers

PMID31803403
PMCPMC6844230
OpenAlexW2956462679

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.