Evidence map›Paper›PMID 35118864›Full record

ArticleJournal of chemical information and modeling2022

Effect of an Inhibitor on the ACE2-Receptor-Binding Domain of SARS-CoV-2.

Gaurav Sharma, Lin Frank Song, Kenneth M Merz

Open access · bronzeAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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 1 institution in 1 country.

Gaurav SharmaDepartment of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States.ORCID 0000-0002-1031-5378
Lin Frank SongDepartment of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States.
Kenneth M MerzDepartment of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States.ORCID 0000-0001-9139-5893
Michigan State University · US

Funding

Modeling Transition Metal Ion Binding to ProteinsR01GM130641 · NIGMS · MICHIGAN STATE UNIVERSITY · PI KENNETH M. MERZ · 2019 to 2026
$2.5M
NIGMS NIH HHS R01 GM130641
6 · The paper itself

Abstract

The recent outbreak of COVID-19 infection started in Wuhan, China, and spread across China and beyond. Since the WHO declared COVID-19 a pandemic (March 11, 2020), three vaccines and only one antiviral drug (remdesivir) have been approved (Oct 22, 2020) by the FDA. The coronavirus enters human epithelial cells by the binding of the densely glycosylated fusion spike protein (S protein) to a receptor (angiotensin-converting enzyme 2, ACE2) on the host cell surface. Therefore, inhibiting the viral entry is a promising treatment pathway for preventing or ameliorating the effects of COVID-19 infection. In the current work, we have used all-atom molecular dynamics (MD) simulations to investigate the influence of the MLN-4760 inhibitor on the conformational properties of ACE2 and its interaction with the receptor-binding domain (RBD) of SARS-CoV-2. We have found that the presence of an inhibitor tends to completely/partially open the ACE2 receptor where the two subdomains (I and II) move away from each other, while the absence results in partial or complete closure. The current study increases our understanding of ACE inhibition by MLN-4760 and how it modulates the conformational properties of ACE2.

Indexed as

Angiotensin-Converting Enzyme 2SARS-CoV-2COVID-19HumansMolecular Dynamics SimulationProtein BindingSpike Glycoprotein, CoronavirusAngiotensin-Converting Enzyme 2Spike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID35118864
PMCPMC8848506
OpenAlexW4210272661

What OpenQuestion holds

Textmetadata
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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.