Evidence map›Paper›PMID 34237666›Full record

ArticleJournal of molecular graphics & modelling2021

Multifunctional inhibitors of SARS-CoV-2 by MM/PBSA, essential dynamics, and molecular dynamic investigations.

K Amith Kumar, Monica Sharma, Vikram Dalal, Vishakha Singh, Shailly Tomar, Pravindra Kumar

Open access · greenAbstract read
In one paragraph

Article in Journal of molecular graphics & modelling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Scientifica · 2026
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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 1 institution in 1 country.

K Amith KumarDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, 247667, India.
Monica SharmaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, 247667, India.
Vikram DalalDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, 247667, India.
Vishakha SinghDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, 247667, India.
Shailly TomarDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, 247667, India.
Pravindra KumarDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, 247667, India. Electronic address: pravindra.kumar@bt.iitr.ac.in.
Indian Institute of Technology Roorkee · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing COVID-19 pandemic demands a novel approach to combat and identify potential therapeutic targets. The SARS-CoV-2 infection causes a hyperimmune response followed by a spectrum of diseases. Limonoids are a class of triterpenoids known to prevent the release of IL-6, IL-15, IL-1α, IL-1β via TNF and are also known to modulate PI3K/Akt/GSK-3β, JNK1/2, MAPKp38, ERK1/2, and PI3K/Akt/mTOR signaling pathways and could help to avoid viral infection, persistence, and pathogenesis. The present study employs a computational approach of virtual screening and molecular dynamic (MD) simulations of such compounds against RNA-dependent RNA polymerase (RdRp), Main protease (Mpro), and Papain-like protease (PLpro) of SARS-CoV-2. MD simulation, Molecular Mechanics Poisson-Boltzmann Surface Area (MM/PBSA), and Essential dynamics revealed that the macromolecule-ligand complexes are stable with very low free energy of binding. Such compounds that could modulate both host responses and inhibit viral machinery could be beneficial in effectively controlling the global pandemic.

Indexed as

COVID-19PandemicsGlycogen Synthase Kinase 3 betaHumansMolecular Docking SimulationMolecular Dynamics SimulationPhosphatidylinositol 3-KinasesSARS-CoV-2Glycogen Synthase Kinase 3 betaPhosphatidylinositol 3-KinasesCytokine stormMain proteasePapain-like proteaseRNA-Dependent RNA polymeraseSARS-CoV-2Triterpenoids

Identifiers

PMID34237666
PMCPMC8220440
OpenAlexW3176830280

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.