Evidence map›Paper›PMID 35244237›Full record

ReviewArchiv der Pharmazie2022

Implication of in silico studies in the search for novel inhibitors against SARS-CoV-2.

Farak Ali, Shahnaz Alom, Anshul Shakya, Surajit K Ghosh, Udaya P Singh, Hans R Bhat

Open access · greenAbstract readReview
In one paragraph

Review in Archiv der Pharmazie, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

6 authors at 2 institutions in 1 country.

Farak AliGirijananda Chowdhury Institute of Pharmaceutical Science, Tezpur, Sonitpur, Assam, India.
Shahnaz AlomGirijananda Chowdhury Institute of Pharmaceutical Science, Tezpur, Sonitpur, Assam, India.
Anshul ShakyaDepartment of Pharmaceutical Sciences, Dibrugarh University, Dibrugarh, Assam, India.
Surajit K GhoshDepartment of Pharmaceutical Sciences, Dibrugarh University, Dibrugarh, Assam, India.
Udaya P SinghDrug Design & Discovery Laboratory, Department of Pharmaceutical Sciences, Sam Higginbottom University of Agriculture, Technology & Sciences, Allahabad, Uttar Pradesh, India.ORCID https://orcid.org/0000-0003-0865-0502
Hans R BhatDepartment of Pharmaceutical Sciences, Dibrugarh University, Dibrugarh, Assam, India.ORCID https://orcid.org/0000-0002-9643-4916
Dibrugarh University · INSam Higginbottom Institute of Agriculture · IN

Funding

All India Council for Technical Education (8-21/FDC/RPS (NER)/POLICY-1/2020-21)
6 · The paper itself

Abstract

Corona Virus Disease-19 (COVID-19) is a pandemic disease mainly caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It had spread from Wuhan, China, in late 2019 and spread over 222 countries and territories all over the world. Earlier, at the very beginning of COVID-19 infection, there were no approved medicines or vaccines for combating this disease, which adversely affected a lot of individuals worldwide. Although frequent mutation leads to the generation of more deadly variants of SARS-CoV-2, researchers have developed several highly effective vaccines that were approved for emergency use by the World Health Organization (WHO), such as mRNA-1273 by Moderna, BNT162b2 by Pfizer/BioNTech, Ad26.COV2.S by Janssen, AZD1222 by Oxford/AstraZeneca, Covishield by the Serum Institute of India, BBIBP-CorV by Sinopharm, coronaVac by Sinovac, and Covaxin by Bharat Biotech, and the first US Food and Drug Administration-approved antiviral drug Veklury (remdesivir) for the treatment of COVID-19. Several waves of COVID-19 have already occurred worldwide, and good-quality vaccines and medicines should be available for ongoing as well as upcoming waves of the pandemic. Therefore, in silico studies have become an excellent tool for identifying possible ligands that could lead to the development of safer medicines or vaccines. Various phytoconstituents from plants and herbs with antiviral properties are studied further to obtain inhibitors of SARS-CoV-2. In silico screening of various molecular databases like PubChem, ZINC, Asinex Biol-Design Library, and so on has been performed extensively for finding effective ligands against targets. Herein, in silico studies carried out by various researchers are summarized so that one can easily find the best molecule for further in vitro and in vivo studies.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Ad26COVS1Antiviral AgentsBNT162 VaccineChAdOx1 nCoV-19HumansLigandsStructure-Activity RelationshipUnited StatesAd26COVS1Antiviral AgentsBNT162 VaccineChAdOx1 nCoV-19Ligandsantiviral phytoconstituentsCOVID-19in silico screeningmolecular dockingSARS-CoV-2

Identifiers

PMID35244237
PMCPMC9073995
OpenAlexW4214849720

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.