Evidence map›Paper›PMID 33711743›Full record

ArticleBiophysical chemistry2021

Evaluation of potential anti-RNA-dependent RNA polymerase (RdRP) drugs against the newly emerged model of COVID-19 RdRP using computational methods.

Alireza Poustforoosh, Hassan Hashemipour, Burak Tüzün, Abbas Pardakhty, Mehrnaz Mehrabani, Mohammad Hadi Nematollahi

Open access · greenAbstract read
In one paragraph

Article in Biophysical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
9.5field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 68 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 4 institutions in 2 countries.

Alireza PoustforooshChemical Engineering Department, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
Hassan HashemipourChemical Engineering Department, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran; Chemical Engineering Department, Faculty of Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran.
Burak TüzünDepartment of Chemistry, Faculty of Science, Sivas Cumhuriyet University, Turkey.
Abbas PardakhtyPharmaceutics Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Mehrnaz MehrabaniPhysiology Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Mohammad Hadi NematollahiHerbal and Traditional Medicines Research Center, Kerman University of Medical Sciences, Kerman, Iran; Department of Clinical Biochemistry, Afzalipour School of Medicine, Kerman University of medical sciences, Kerman, Iran. Electronic address: mh.nematollahi@yahoo.com.
Kerman University of Medical Sciences · IRShahid Bahonar University of Kerman · IRSivas Cumhuriyet Üniversitesi · TRVali Asr University of Rafsanjan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite all the efforts to treat COVID-19, no particular cure has been found for this virus. Since developing antiviral drugs is a time-consuming process, the most effective approach is to evaluate the approved and under investigation drugs using in silico methods. Among the different targets within the virus structure, as a vital component in the life cycle of coronaviruses, RNA-dependent RNA polymerase (RdRP) can be a critical target for antiviral drugs. The impact of the existence of RNA in the enzyme structure on the binding affinity of anti-RdRP drugs has not been investigated so far.

methodsIn this study, the potential anti-RdRP effects of a variety of drugs from two databases (Zinc database and DrugBank) were evaluated using molecular docking. For this purpose, the newly emerged model of COVID-19 (RdRP) post-translocated catalytic complex (PDB ID: 7BZF) that consists of RNA was chosen as the target.

resultsThe results indicated that idarubicin (IDR), a member of the anthracycline antibiotic family, and fenoterol (FNT), a known beta-2 adrenergic agonist drug, tightly bind to the target enzyme and could be used as potential anti-RdRP inhibitors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). These outcomes revealed that due to the ligand-protein interactions, the presence of RNA in this structure could remarkably affect the binding affinity of inhibitor compounds.

conclusionIn silico approaches, such as molecular docking, could effectively address the problem of finding appropriate treatment for COVID-19. Our results showed that IDR and FNT have a significant affinity to the RdRP of SARS-CoV-2; therefore, these drugs are remarkable inhibitors of coronaviruses.

Indexed as

Computational ChemistryCOVID-19 Drug TreatmentAntiviral AgentsCOVID-19Enzyme InhibitorsHumansMolecular Docking SimulationRNA-Dependent RNA PolymeraseSARS-CoV-2Antiviral AgentsEnzyme InhibitorsRNA-Dependent RNA Polymerase7BZFAntiviral drugIdarubicinIn silico methodsMolecular docking

Identifiers

PMID33711743
PMCPMC7895701
OpenAlexW3132134606

What OpenQuestion holds

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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.