Evidence map›Paper›PMID 35163294›Full record

ArticleInternational journal of molecular sciences2022

In Silico and Experimental ADAM17 Kinetic Modeling as Basis for Future Screening System for Modulators.

Marian Bienstein, Dmitriy Minond, Ulrich Schwaneberg, Mehdi D Davari, Daniela Yildiz

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Progress of ADAM17 in Fibrosis-Related Diseases.Mediators of inflammation · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. 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

5 authors at 4 institutions in 2 countries.

Marian BiensteinInstitute of Biotechnology, RWTH Aachen University, Worringerweg 3, 52074 Aachen, Germany.
Dmitriy MinondCollege of Pharmacy, Nova Southeastern University, Fort Lauderdale, FL 33314, USA.
Ulrich SchwanebergInstitute of Biotechnology, RWTH Aachen University, Worringerweg 3, 52074 Aachen, Germany.
Mehdi D DavariDepartment of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Weinberg 3, 06120 Halle, Germany.
Daniela YildizExperimental and Clinical Pharmacology and Toxicology, Center for Molecular Signaling (PZMS), Center for Human and Molecular Biology (ZHMB), University of Saarland, Kirrbergerstr., 66421 Homburg, Germany.
RWTH Aachen University · DELeibniz Institute of Plant Biochemistry · DENova Southeastern University · USSaarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the mechanisms of modulators' action on enzymes is crucial for optimizing and designing pharmaceutical substances. The acute inflammatory response, in particular, is regulated mainly by a disintegrin and metalloproteinase (ADAM) 17. ADAM17 processes several disease mediators such as TNFα and APP, releasing their soluble ectodomains (shedding). A malfunction of this process leads to a disturbed inflammatory response. Chemical protease inhibitors such as TAPI-1 were used in the past to inhibit ADAM17 proteolytic activity. However, due to ADAM17's broad expression and activity profile, the development of active-site-directed ADAM17 inhibitor was discontinued. New 'exosite' (secondary substrate binding site) inhibitors with substrate selectivity raised the hope of a substrate-selective modulation as a promising approach for inflammatory disease therapy. This work aimed to develop a high-throughput screen for potential ADAM17 modulators as therapeutic drugs. By combining experimental and in silico methods (structural modeling and docking), we modeled the kinetics of ADAM17 inhibitor. The results explain ADAM17 inhibition mechanisms and give a methodology for studying selective inhibition towards the design of pharmaceutical substances with higher selectivity.

Indexed as

ADAM17 ProteinADAM ProteinsBinding SitesCatalytic DomainComputer SimulationDrug Evaluation, PreclinicalHEK293 CellsHigh-Throughput Screening AssaysHumansKineticsProtease InhibitorsSubstrate SpecificityADAM17 ProteinADAM17 protein, humanADAM ProteinsProtease InhibitorsADAM17biocatalysisexosite inhibitorsinhibitor designkinetic modellingmetalloproteinasesmolecular dockingreaction mechanism

Identifiers

PMID35163294
PMCPMC8835787
OpenAlexW4210449127

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.