Evidence map›Paper›PMID 35498548›Full record

ArticleJournal of chemical sciences (Bangalore, India)2022

Applying polypharmacology approach for drug repurposing for SARS-CoV2.

Esther Jamir, Himakshi Sarma, Lipsa Priyadarsinee, Selvaraman Nagamani, Kikrusenuo Kiewhuo, Anamika Singh Gaur, Ravindra K Rawal, Natarajan Arul Murugan, Venkatesan Subramanian, G Narahari Sastry

Open access · bronzeAbstract read
In one paragraph

Article in Journal of chemical sciences (Bangalore, India), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 16 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

10 authors at 3 institutions in 2 countries.

Esther JamirAdvanced Computation and Data Sciences Division, CSIR - North East Institute of Science and Technology, Jorhat, Assam 785006 India.
Himakshi SarmaAdvanced Computation and Data Sciences Division, CSIR - North East Institute of Science and Technology, Jorhat, Assam 785006 India.
Lipsa PriyadarsineeAdvanced Computation and Data Sciences Division, CSIR - North East Institute of Science and Technology, Jorhat, Assam 785006 India.
Selvaraman NagamaniAdvanced Computation and Data Sciences Division, CSIR - North East Institute of Science and Technology, Jorhat, Assam 785006 India.
Kikrusenuo KiewhuoAdvanced Computation and Data Sciences Division, CSIR - North East Institute of Science and Technology, Jorhat, Assam 785006 India.
Anamika Singh GaurAdvanced Computation and Data Sciences Division, CSIR - North East Institute of Science and Technology, Jorhat, Assam 785006 India.
Ravindra K RawalAdvanced Computation and Data Sciences Division, CSIR - North East Institute of Science and Technology, Jorhat, Assam 785006 India.
Natarajan Arul MuruganDepartment of Computer Science, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, 106 91 Stockholm, Sweden.
Venkatesan SubramanianAcademy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
G Narahari SastryAdvanced Computation and Data Sciences Division, CSIR - North East Institute of Science and Technology, Jorhat, Assam 785006 India.ORCID 0000-0003-3181-7673
North East Institute of Science and Technology · INCentral Leather Research Institute · INKTH Royal Institute of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exploring the new therapeutic indications of known drugs for treating COVID-19, popularly known as drug repurposing, is emerging as a pragmatic approach especially owing to the mounting pressure to control the pandemic. Targeting multiple targets with a single drug by employing drug repurposing known as the polypharmacology approach may be an optimised strategy for the development of effective therapeutics. In this study, virtual screening has been carried out on seven popular SARS-CoV-2 targets (3CL Graphical abstract: Drug repurposing strategy against SARS-CoV2 drug targets. Computational analysis was performed to identify repurposable approved drug candidates against SARS-CoV2 using approaches such as virtual screening, molecular dynamics simulation and MM-PBSA calculations. Four drugs namely venetoclax, tirilazad, acetyldigitoxin, and ledipasvir have been selected as potential candidates. Supplementary Information: The online version contains supplementary material available at 10.1007/s12039-022-02046-0.

Indexed as

AntiviralsDrug repurposingMM-PBSAPolypharmacologyVirtual screening

Identifiers

PMID35498548
PMCPMC9028909
OpenAlexW4224292397

What Socratic 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 Socratic graph.