Evidence map›Paper›PMID 33244378›Full record

ArticleGastroenterology and hepatology from bed to bench2020

Computation screening and molecular docking of FDA approved viral protease inhibitors as a potential drug against COVID-19.

Abdorrahim Absalan, Delaram Doroud, Mostafa Salehi-Vaziri, Hooman Kaghazian, Nayebali Ahmadi, Fatemeh Zali, Mohamamd Hassan Pouriavali's, Seyed Dawood Mousavi-Nasab

Open access · greenAbstract read
In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 7 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

8 authors at 2 institutions in 1 country.

Abdorrahim AbsalanDepartment of Medical Laboratory Sciences, Khomein University of Medical Sciences, Markazi Province, Iran.
Delaram DoroudDepartment of Research and Development, Production and Research Complex, Pasteur Institute, Tehran, Iran.
Mostafa Salehi-VaziriDepartment of Arboviruses and Viral Hemorrhagic Fevers, Pasteur Institute of Iran.
Hooman KaghazianDepartment of Research and Development, Production and Research Complex, Pasteur Institute, Tehran, Iran.
Nayebali AhmadiProteomics Research Center, Department of Medical Lab Technology, Faculty of Paramedical Sciences,Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fatemeh ZaliDepartment of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Science, Tehran, Iran.
Mohamamd Hassan Pouriavali'sDepartment of Arboviruses and Viral Hemorrhagic Fevers, Pasteur Institute of Iran.
Seyed Dawood Mousavi-NasabDepartment of Research and Development, Production and Research Complex, Pasteur Institute, Tehran, Iran.
Pasteur Institute of Iran · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study demonstrated potent inhibitors against COVID-19 using the molecular docking approach of FDA approved viral antiprotease drugs.

backgroundCOVID-19 has now spread throughout world. There is a serious need to find potential therapeutic agents. The 3C-like protease (Mpro/6LU7) is an attractive molecular target for rational anti-CoV drugs.

methodsThe tertiary structure of COVID-19 Mpro was obtained from a protein data bank repository, and molecular docking screening was performed by Molegro Virtual Docker, ver. 6, with a grid resolution of 0.30 Å. Docking scores (DOS) are representative of calculated ligand-receptor (protein) interaction energy; therefore, more negative scores mean better binding tendency. Another docking study was then applied on each of the selected drugs with the best ligands separately and using a more accurate RMSD algorithm.

resultsThe docking of COVID-19 major protease (6LU7) with 17 selected drugs resulted in four FDA approved viral antiprotease drugs (Temoporfin, Simeprevir, Cobicistat, Ritonavir) showing the best docking scores. Among these 4 compounds, Temoporfin exhibited the best DOS (-202.88) and the best screened ligand with COVID-19 Mpro, followed by Simeprevir (-201.66), Cobicistat (-187.75), and Ritonavir (-186.66). As the best screened ligand, Temoporfin could target the Mpro with 20 different conformations, while Simeprevir, Cobicistat, and Ritonavir make 14, 10, and 10 potential conformations at the binding site, respectively.

conclusionThe findings showed that the four selected FDA approved drugs can be potent inhibitors against COVID-19; among them, Temoporfin may be more potent for the treatment of the disease. Based on the findings, it is recommended that in-vitro and in-vivo evaluations be conducted to determine the effectiveness of these drugs against COVID-19.

Indexed as

COVID-19Main proteaseMolecular dockingMpro/6LU7Viral antiprotease drugs

Identifiers

PMID33244378
PMCPMC7682959
OpenAlexW3095114897

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.