Evidence map›Paper›PMID 34014150›Full record

ArticleJournal of biomolecular structure & dynamics2022

Marine algal antagonists targeting 3CL protease and spike glycoprotein of SARS-CoV-2: a computational approach for anti-COVID-19 drug discovery.

Malaisamy Arunkumar, Sathaiah Gunaseelan, Manikka Kubendran Aravind, Verma Mohankumar, Patra Anupam, Muniyasamy Harikrishnan, Ayyanar Siva, Balasubramaniem Ashokkumar, Perumal Varalakshmi

Open access · greenAbstract read
In one paragraph

Article in Journal of biomolecular structure & dynamics, 2022. 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
6.1field-weighted citation impact, top 4% 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, 26 citations in OpenAlex.

  1. Comprehensive Phytochemical and Biological Evaluation ofInternational journal of analytical chemistry · 2026
    Article
  2. Phytochemical Analysis and Compound Profiling ofAnalytical science advances · 2025
    Article
  3. Marine-Derived Peptides fromMicroorganisms · 2025
    Article
  4. Computational andFrontiers in pharmacology · 2025
    Article
  5. Review
  6. In Silico Models for Anti-COVID-19 Drug Discovery: A Systematic Review.Advances in pharmacological and pharmaceutical sciences · 2023
    Review
  7. Article
  8. Review
  9. Review
  10. Immunostimulatory Activity ofMicroorganisms · 2022
    Article
  11. Derivation, Functionalization of (S)-Goniothalamin fromMolecules (Basel, Switzerland) · 2022
    Article
  12. Article
  13. Sulfated Polysaccharides Derived fromEvidence-based complementary and alternative medicine : eCAM · 2022
    Article
  14. Article
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

9 authors at 2 institutions in 1 country.

Malaisamy ArunkumarDepartment of Genetic Engineering, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
Sathaiah GunaseelanDepartment of Molecular Microbiology, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
Manikka Kubendran AravindDepartment of Genetic Engineering, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
Verma MohankumarDepartment of Molecular Microbiology, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
Patra AnupamInternational Centre for Genetic Engineering and Biotechnology (ICGEB), Transcription Regulation Group, New Delhi, India.
Muniyasamy HarikrishnanSupramolecular and Organometallic Chemistry Lab, Department of Inorganic Chemistry, School of Chemistry, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
Ayyanar SivaSupramolecular and Organometallic Chemistry Lab, Department of Inorganic Chemistry, School of Chemistry, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
Balasubramaniem AshokkumarDepartment of Genetic Engineering, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
Perumal VaralakshmiDepartment of Molecular Microbiology, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, India.ORCID 0000-0002-5420-4688
Madurai Kamaraj University · INInternational Centre for Genetic Engineering and Biotechnology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has severely destructed human life worldwide, with no suitable treatment until now. SARS-CoV-2 virus is unprecedented, resistance against number of therapeutics and spreading rapidly with high mortality, which warrants the need to discover new effective drugs to combat this situation. This current study is undertaken to explore the antiviral potential of marine algal compounds to inhibit the viral entry and its multiplication using computational analysis. Among the proven drug discovery targets of SARS-CoV-2, spike glycoprotein and 3-chymotrypsin-like protease are responsible for the virus attachment and viral genome replication in the host cell. In this study, the above-mentioned drug targets were docked with marine algal compounds (sulfated polysaccharides, polysaccharide derivatives and polyphenols) using molecular docking tools (AutoDockTools). The obtained results indicate that κ-carrageenan, laminarin, eckol, trifucol and β-D-galactose are the top-ranking compounds showing better docking scores with SARS-CoV-2 targets, than the current experimental COVID-19 antiviral drugs like dexamethasone, remdesivir, favipiravir and MIV-150. Further, molecular dynamic simulation, ADMET and density functional theory calculations were evaluated to substantiate the findings. To the best of our knowledge, this is the first report on

Indexed as

COVID-19SARS-CoV-2Antiviral AgentsDrug DiscoveryGlycoproteinsHumansMolecular Docking SimulationMolecular Dynamics SimulationPandemicsPeptide HydrolasesProtease InhibitorsSpike Glycoprotein, CoronavirusAntiviral AgentsGlycoproteinsPeptide HydrolasesProtease InhibitorsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-23CL protease & spike glycoproteinantiviral drugsCOVID-19molecular dockingSARS-CoV-2

Identifiers

PMID34014150
PMCPMC8146311
OpenAlexW3160189755

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.