Evidence map›Paper›PMID 33791707›Full record

ArticlebioRxiv : the preprint server for biology2021

TMPRSS2 inhibitor discovery facilitated through an

Amanda L Peiffer, Julie M Garlick, Yujin Wu, Matthew B Soellner, Charles L Brooks, Anna K Mapp

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2021. 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
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Amanda L PeifferLife Sciences Institute, University of Michigan, Ann Arbor, MI 48019.
Julie M GarlickLife Sciences Institute, University of Michigan, Ann Arbor, MI 48019.
Yujin WuDepartment of Chemistry, University of Michigan, Ann Arbor, MI 48109.
Matthew B SoellnerProgram in Chemical Biology, University of Michigan, Ann Arbor, MI 48109.
Charles L BrooksProgram in Chemical Biology, University of Michigan, Ann Arbor, MI 48109.
Anna K MappLife Sciences Institute, University of Michigan, Ann Arbor, MI 48019.

Funding

Theory and Modeling of Biomolecules and their Interactions - Equipment SupplementR35GM130587 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHARLES L BROOKS · 2019 to 2026
$6.9M
CHARMM Modernization, Performance, and Continued DevelopmentR01GM103695 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 2012 to 2018
$3.1M
Computational infrastructure for biomedically-driven simulation and modelingS10OD034346 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 2023 to 2023
$593k
NIGMS NIH HHS R01 GM103695NIGMS NIH HHS R35 GM130587NIH HHS S10 OD034346
6 · The paper itself

Abstract

The COVID-19 pandemic has highlighted the need for new antiviral targets, as many of the currently approved drugs have proven ineffective against mitigating SARS-CoV-2 infections. The host transmembrane serine protease TMPRSS2 is a highly promising antiviral target, as it plays a direct role in priming the spike protein before viral entry occurs. Further, unlike other targets such as ACE2, TMPRSS2 has no known biological role. Here we utilize virtual screening to curate large libraries into a focused collection of potential inhibitors. Optimization of a recombinant expression and purification protocol for the TMPRSS2 peptidase domain facilitates subsequent biochemical screening and characterization of selected compounds from the curated collection in a kinetic assay. In doing so, we demonstrate that serine protease inhibitors camostat, nafamostat, and gabexate inhibit through a covalent mechanism. We further identify new non-covalent compounds as TMPRSS2 protease inhibitors, demonstrating the utility of a combined virtual and experimental screening campaign in rapid drug discovery efforts.

Identifiers

PMID33791707
PMCPMC8010734

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.