Evidence map›Paper›PMID 32948103›Full record

ArticleJournal of biomolecular structure & dynamics2022

A computational approach to drug repurposing against SARS-CoV-2 RNA dependent RNA polymerase (RdRp).

Giovanni Ribaudo, Alberto Ongaro, Erika Oselladore, Giuseppe Zagotto, Maurizio Memo, Alessandra Gianoncelli

Open access · greenAbstract read
In one paragraph

Article in Journal of biomolecular structure & dynamics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-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

12 citing papers in PubMed, 28 citations in OpenAlex.

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  12. Potential inhibitors of SARS-CoV-2 (COVID 19) proteases PLCurrent research in pharmacology and drug discovery · 2021
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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 3 countries.

Giovanni RibaudoDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Alberto OngaroDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Erika OselladoreDepartment of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova, Italy.
Giuseppe ZagottoDepartment of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova, Italy.
Maurizio MemoDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Alessandra GianoncelliDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Brescia University · USUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) caused a worldwide outbreak of coronavirus disease 19 (COVID-19), which rapidly evolved as a global concern. The efforts of the scientific community are pointed towards the identification of promptly available therapeutic options. RNA-dependent RNA polymerase (RdRp) is a promising target for developing small molecules to contrast SARS-CoV-2 replication. Modern computational tools can boost identification and repurposing of known drugs targeting RdRp. We here report the results regarding the screening of a database containing more than 8800 molecules, including approved, experimental, nutraceutical, illicit, withdrawn and investigational compounds. The molecules were docked against the cryo-electron microscopy structure of SARS-CoV-2 RdRp, optimized by means of molecular dynamics (MD) simulations. The adopted three-stage

Indexed as

COVID-19Drug RepositioningAntiviral AgentsCryoelectron MicroscopyHumansMolecular Docking SimulationRNA-Dependent RNA PolymeraseRNA, ViralSARS-CoV-2Antiviral AgentsRNA-Dependent RNA PolymeraseRNA, Viralmolecular modellingRdRpremdesivirrepurposingSARS-CoV-2

Identifiers

PMID32948103
PMCPMC7544925
OpenAlexW3087404989

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.