Evidence map›Paper›PMID 34847746›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2021

Screening of Severe Acute Respiratory Syndrome Coronavirus 2 RNA-Dependent RNA Polymerase Inhibitors Using Computational Approach.

Poonam Dhankhar, Vikram Dalal, Viney Kumar

Abstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2021. 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
–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

8 citing papers in PubMed.

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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.

Poonam DhankharDepartment of Medicinal Chemistry, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID 0000-0002-7614-5957
Vikram DalalDepartment of Anesthesiology, Washington University in St. Louis, St. Louis, Missouri, USA.
Viney KumarDepartment of Biotechnology, Indian Institute of Technology, Roorkee, India.ORCID 0000-0003-3677-3489

Funding

TRD3 NMRbox: Bayesian AnalyticsP41GM111135 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HOCH, JEFFREY C · 2015 to 2024
$14.0M
NIGMS NIH HHS P41 GM111135
6 · The paper itself

Abstract

The detrimental effect of coronavirus disease 2019 (COVID-19) pandemic has manifested itself as a global crisis. Currently, no specific treatment options are available for COVID-19, so therapeutic interventions to tackle the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection must be urgently established. Therefore, cohesive and multidimensional efforts are required to identify new therapies or investigate the efficacy of small molecules and existing drugs against SARS-CoV-2. Since the RNA-dependent RNA Polymerase (RdRP) of SARS-CoV-2 is a promising therapeutic target, this study addresses the identification of antiviral molecules that can specifically target SARS-CoV-2 RdRP. The computational approach of drug development was used to screen the antiviral molecules from two antiviral libraries (Life Chemicals [LC] and ASINEX) against RdRP. Here, we report six antiviral molecules (F3407-4105, F6523-2250, F6559-0746 from LC and BDG 33693278, BDG 33693315, LAS 34156196 from ASINEX), which show substantial interactions with key amino acid residues of the active site of SARS-CoV-2 RdRP and exhibit higher binding affinity (>7.5 kcalmol

Indexed as

COVID-19 Drug TreatmentPandemicsAmino Acid MotifsAmino Acid SequenceAntiviral AgentsCatalytic DomainComputational ChemistryCoronavirus RNA-Dependent RNA PolymeraseDatabases, ChemicalDrug DiscoveryDrug Evaluation, PreclinicalMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructureProtein BindingProtein ConformationAntiviral AgentsCoronavirus RNA-Dependent RNA PolymeraseNSP12 protein, SARS-CoV-2Small Molecule LibrariesCOVID-19inhibitorsmolecular dynamic simulationmolecular mechanics poisson-Boltzmann surface areaRNA-dependent RNA polymeraseSARS-CoV-2

Identifiers

PMID34847746
PMCPMC8819516

What OpenQuestion holds

Textmetadata
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.