Evidence map›Paper›PMID 34130375›Full record

ArticleEnvironmental analysis, health and toxicology2021

Blocking the interactions between human ACE2 and coronavirus spike glycoprotein by selected drugs: a computational perspective.

Chidi Edbert Duru, Haruna Isiyaku Umar Umar, Ijeoma Akunna Duru, Uchechi Emmanuela Enenebeaku, Lynda Chioma Ngozi-Olehi, Christian Ebere Enyoh

Open access · hybridAbstract read
In one paragraph

Article in Environmental analysis, health and toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 13 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 3 institutions in 1 country.

Chidi Edbert DuruSurface Chemistry and Environmental Technology (SCENT) Research Unit, Department of Chemistry, Imo State University, Owerri, PMB 2000 Owerri, Imo State, Nigeria.
Haruna Isiyaku Umar UmarDepartment of Biochemistry, Federal University of Technology Akure, PMB 704 Akure, Ondo State, Nigeria.
Ijeoma Akunna DuruDepartment of Chemistry, Federal University of Technology Owerri, PMB 1526 Owerri, Imo State, Nigeria.
Uchechi Emmanuela EnenebeakuDepartment of Biotechnology, Federal University of Technology Owerri, PMB 1526 Owerri, Imo State, Nigeria.
Lynda Chioma Ngozi-OlehiDepartment of Chemistry, Alvan Ikoku Federal College of Education Owerri, PMB 1033 Owerri, Imo State, Nigeria.
Christian Ebere EnyohDepartment of Chemistry, Imo State University, Owerri, PMB 2000 Owerri, Imo State, Nigeria.
Federal University of Technology Owerri · NGImo State University · NGFederal University of Technology · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease of 2019 (COVID-19) has become a global pandemic with rapid rate of transmission and fatalities worldwide. Scientists have been investigating a host of drugs that may be rechanneled to fight this malaise. Thus, in this current computational study we carried out molecular docking experiments to assess the bridging potentials of some commercial drugs such as chloroquine, hydroxychloroquine, lopinavir, ritonavir, nafamostat, camostat, famotidine, umifenovir, nitazoxanide, ivermectin, and fluvoxamine at the interface between human ACE2 and the coronavirus spike glycoprotein complex. This is aimed at ascertaining the ability of these drugs to bridge and prevent the complexing of these two proteins. The crystal structure of human ACE2 and the coronavirus spike glycoprotein complex was retrieved from protein database, while the selected drugs were retrieved from PubChem data base. The proteins and drugs were prepared for docking using Cresset Flare software. The docking was completed via AutoDock Vina module in Python Prescription software. The best hit drugs with each receptor were selected and their molecular interactions were analyzed using BIOVIA's Discovery Studio 2020. The best hit compounds on the human ACE2 were the lopinavir (-10.1 kcal/mol), ritonavir (-8.9 kcal/mol), and nafamostat (-8.7 kcal/mol). Ivermectin, nafamostat, and camostat with binding energy values -9.0 kcal/mol, -7.8 kcal/mol, and -7.4 kcal/mol respectively were the hit drugs on the coronavirus spike glycoprotein. Nafamostat showed a dual bridging potential against ACE2 and spike glycoprotein, and could therefore be a promising lead compound in the prevention and control of this disease.

Indexed as

Angiotensin-converting enzyme 2IvermectinMolecular dockingNafamostatSpike glycoprotein

Identifiers

PMID34130375
PMCPMC8421753
OpenAlexW3167293810

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.