Evidence map›Paper›PMID 34421325›Full record

ArticleProcess biochemistry (Barking, London, England)2021

Repurposing the inhibitors of COVID-19 key proteins through molecular docking approach.

Huda Ahmed Alghamdi, Syed Awais Attique, Wei Yan, Anam Arooj, Obaid Albulym, Daochen Zhu, Muhammad Bilal, Muhammad Zohaib Nawaz

Open access · greenAbstract read
In one paragraph

Article in Process biochemistry (Barking, London, England), 2021. 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
3.8field-weighted citation impact, top 6% 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, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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 6 institutions in 3 countries.

Huda Ahmed AlghamdiDepartment of Biology, College of Sciences, King Khalid University, Abha, 61413, Saudi Arabia.
Syed Awais AttiqueDepartment of Computer Science, University of Agriculture, Faisalabad, 38040, Pakistan.
Wei YanDepartment of Marine Science, College of Marine Science and Technology, China University of Geosciences, Wuhan, China.
Anam AroojDepartment of Computer Science, Virtual University of Pakistan, Lahore, 54000, Pakistan.
Obaid AlbulymDepartment of Biology, College of Sciences, King Khalid University, Abha, 61413, Saudi Arabia.
Daochen ZhuBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China.
Muhammad BilalSchool of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, China.
Muhammad Zohaib NawazDepartment of Computer Science, University of Agriculture, Faisalabad, 38040, Pakistan.
Jiangsu University · CNKing Khalid University · SAChina University of Geosciences · CNHuaiyin Institute of Technology · CNUniversity of Agriculture Faisalabad · PKVirtual University of Pakistan · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severe acute respiratory syndrome coronavirus 2, famous as COVID-19, has recently emerged as a novel virus and imposed an unrecoverable loss to global health and the economy. At present, no effective drug against COVID-19 is available and currently available viral drugs targeting the viral key proteins of related RNA viruses have been found ineffective against COVID-19. This study evaluated the inhibitors of the viral proteases and other structural proteins, including Mpro (Main protease), RdRp (RNA-dependent RNA polymerase), and spike glycoprotein from synthetic and herbal sources. The molecular docking-based approach was used to identify and evaluate the putative inhibitors of key proteins involved in viral replication and survival. Furthermore, the pharmaceutical properties of these inhibitors were explored to predict the drug suitability as a therapeutic agent against COVID-19 by considering adsorption, distribution, metabolism, and excretion (ADME) using Lipinski's rule or SwissADME. Trandolapril, Benazepril, and Moexipril were evaluated as the best non-carcinogenic and non-toxic potential inhibitors of spike glycoprotein, Mpro, and RdRp, respectively. The drugs showed significant binding affinities against the active sites of respective SARS_CoV-2 target proteins; hence, they can be used as potential therapeutic agents for the treatment of COVID-19.

Indexed as

COVID-19DockingDrug suitabilityDrug targetsTherapeutic targets

Identifiers

PMID34421325
PMCPMC8367655
OpenAlexW3194091411

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.