Evidence map›Paper›PMID 35690231›Full record

ArticleMicrobial pathogenesis2022

Repurposing of anti-lung cancer drugs as multi-target inhibitors of SARS-CoV-2 proteins: An insight from molecular docking and MD-simulation study.

Rahimasoom Reza, Tanmoy Dutta, Nabajyoti Baildya, Narendra Nath Ghosh, Abdul Ashik Khan, Rajesh Kumar Das

Abstract read
In one paragraph

Article in Microbial pathogenesis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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.

Rahimasoom RezaDepartment of Chemistry, University of North Bengal, Darjeeling, 734013, India. Electronic address: rahimasoom888@gmail.com.
Tanmoy DuttaDepartment of Chemistry, JIS College of Engineering, Kalyani, 741235, India. Electronic address: dutta.tanmoy88@gmail.com.
Nabajyoti BaildyaDepartment of Chemistry, University of Kalyani, Kalyani, 741235, India. Electronic address: nabajyotibaildya@gmail.com.
Narendra Nath GhoshDepartment of Chemistry, University of Gour Banga, Mokdumpur, Malda, 732103, India. Electronic address: ghosh.naren13@gmail.com.
Abdul Ashik KhanDepartment of Chemistry, Darjeeling Government College, Darjeeling, 734101, India. Electronic address: abdulashik0@gmail.com.
Rajesh Kumar DasDepartment of Chemistry, University of North Bengal, Darjeeling, 734013, India. Electronic address: rajeshnbu@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein we have selected seventeen anti-lung cancer drugs to screen against Mpro, PLpro and spike glycoproteins of SARS-CoV-2to ascertain the potential therapeutic agent against COVID-19. ADMET profiling were employed to evaluate their pharmacokinetic properties. Molecular docking studies revealed that Capmatinib (CAP) showed highest binding affinity against the selected proteins of SARS-CoV-2. Molecular Dynamics (MD) simulation and the analysis of RMSD, RMSF, and binding energy confirmed the abrupt conformational changes of the proteins due to the presence of this drug. These findings provide an opportunity for doing advanced experimental research to evaluate the potential drug to combat COVID-19.

Indexed as

Antineoplastic AgentsCOVID-19 Drug TreatmentNeoplasmsDrug RepositioningHumansMolecular Docking SimulationMolecular Dynamics SimulationSARS-CoV-2Antineoplastic AgentsCapmatinibMolecular dynamics simulationMproPLproSARS-CoV-2Spike protein

Identifiers

PMID35690231
PMCPMC9174081

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.