Evidence map›Paper›PMID 35991504›Full record

ArticleACS omega2022

Small Molecules Targeting SARS-CoV-2 Spike Glycoprotein Receptor-Binding Domain.

Yoel Rodríguez, Scarlet Martínez Cardoze, Onyinyechi W Obineche, Claudia Melo, Ashanna Persaud, José A Fernández Romero

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 15 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

6 authors at 2 institutions in 1 country.

Yoel RodríguezDepartment of Natural Sciences, Hostos Community College of The City University of New York, 500 Grand Concourse, Bronx, New York, New York 10451, United States.ORCID https://orcid.org/0000-0002-7334-7828
Scarlet Martínez CardozeDepartment of Natural Sciences, Hostos Community College of The City University of New York, 500 Grand Concourse, Bronx, New York, New York 10451, United States.
Onyinyechi W ObinecheDepartment of Natural Sciences, Hostos Community College of The City University of New York, 500 Grand Concourse, Bronx, New York, New York 10451, United States.
Claudia MeloDepartment of Science, Borough of Manhattan Community College of The City University of New York, 199 Chambers St, New York, New York 10007, United States.ORCID https://orcid.org/0000-0003-2663-1196
Ashanna PersaudDepartment of Science, Borough of Manhattan Community College of The City University of New York, 199 Chambers St, New York, New York 10007, United States.
José A Fernández RomeroDepartment of Science, Borough of Manhattan Community College of The City University of New York, 199 Chambers St, New York, New York 10007, United States.
Borough of Manhattan Community College · USCity University of New York · US

Funding

SUPPLEMENT FOR MARC SCIENTIFIC COMMUNICATIONS TECHNOLOGYT34GM008078 · NIGMS · BROOKLYN COLLEGE · PI HAINLINE, LOUISE, RABIN, LAURA A. · 1985 to 2022
$8.2M
NIGMS NIH HHS T34 GM008078
6 · The paper itself

Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the coronavirus disease 2019 (COVID-19) pandemic. Several variants of SARS-CoV-2 have emerged worldwide. These variants show different transmissibility infectivity due to mutations in the viral spike (S) glycoprotein that interacts with the human angiotensin-converting enzyme 2 (hACE2) receptor and facilitates viral entry into target cells. Despite the effective SARS-CoV-2 vaccines, we still need to identify selective antivirals, and the S glycoprotein is a key target to neutralize the virus. We hypothesize that small molecules could disrupt the interaction of S glycoprotein with hACE2 and inhibit viral entry. We analyzed the S glycoprotein-hACE2 complex structure (PDB: 7DF4) and created models for different viral variants using visual molecular dynamics (VMD) and molecular operating environment (MOE) programs. Moreover, we started the hits search by performing structure-based molecular docking virtual screening of commercially available small molecules against S glycoprotein models using OEDocking FRED-4.0.0.0 software. The FRED-4.0.0.0 Chemguass4 scoring function was used to rank the small molecules based on their affinities. The best candidate compounds were purchased and tested using a standard SARS-CoV-2 pseudotyped cell-based bioassay to investigate their antiviral activity. Three of these compounds, alone or in combination, showed antiviral selectivity. These small molecules may lead to an effective antiviral treatment or serve as probes to better understand the biology of SARS-CoV-2.

Identifiers

PMID35991504
PMCPMC9380817
OpenAlexW4290779468

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.