Evidence map›Paper›PMID 37073444›Full record

ArticleExpert opinion on drug discovery2023

High throughput and targeted screens for prepilin peptidase inhibitors do not identify common inhibitors of eukaryotic gamma-secretase.

Pradip Kumar Singh, Michael S Donnenberg

Open access · greenAbstract read
In one paragraph

Article in Expert opinion on drug discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Pradip Kumar SinghDepartment of Internal Medicine, Virginia Commonwealth University, Sanger Hall, Richmond, VA, USA.ORCID 0000-0003-0551-6877
Michael S DonnenbergDepartment of Internal Medicine, Virginia Commonwealth University, Sanger Hall, Richmond, VA, USA.
Virginia Commonwealth University · US

Funding

Novel antimicrobials targeting type IV pilus and type 2 secretion systemsR21AI119269 · NIAID · VIRGINIA COMMONWEALTH UNIVERSITY · PI DONNENBERG, MICHAEL S · 2015 to 2016
$420k
NIAID NIH HHS R21 AI119269
6 · The paper itself

Abstract

introductionPrepilin peptidases (PPP) are essential enzymes for the biogenesis of important virulence factors, such as type IV pili (T4P), type II secretion systems, and other T4P-related systems of bacteria and archaea. PPP inhibitors could be valuable pharmaceuticals, but only a few have been reported. Interestingly, PPP share similarities with presenilin enzymes from the gamma-secretase protease complex, which are linked to Alzheimer's disease. Numerous gamma-secretase inhibitors have been reported, and some have entered clinical trials, but none has been tested against PPP.

objectiveThe objective of this study is to develop a high-throughput screening (HTS) method to search for inhibitors of PPP from various chemical libraries and reported gamma-secretase inhibitors.

methodMore than 15,000 diverse compounds, including 13 reported gamma-secretase inhibitors and other reported peptidase inhibitors, were screened to identify potential PPP inhibitors.

resultsThe authors developed a novel screening method and screened 15,869 compounds. However, the screening did not identify a PPP inhibitor. Nevertheless, the study suggests that gamma-secretase is sufficiently different from PPP that specific inhibitors may exist in a larger chemical space.

conclusionThe authors believe that the HTS method that they describe has numerous advantages and encourage others to consider its application in the search for PPP inhibitors.

Indexed as

Alzheimer DiseaseAmyloid Precursor Protein SecretasesEukaryotaFimbriae ProteinsHumansPresenilinsProtease InhibitorsAmyloid Precursor Protein SecretasesFimbriae ProteinsPresenilinsProtease Inhibitorsdrug discoverygamma-secretase inhibitorshigh throughput screeningPrepilin peptidase inhibitorstype IV pili

Identifiers

PMID37073444
PMCPMC11558661
OpenAlexW4366353537

What OpenQuestion holds

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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.