Evidence map›Paper›PMID 35152367›Full record

ArticleMolecular diversity2022

Probing marine brown macroalgal phlorotannins as antiviral candidate against SARS-CoV-2: molecular docking and dynamics simulation approach.

Sathaiah Gunaseelan, Malaisamy Arunkumar, Manikka Kubendran Aravind, Santhalingam Gayathri, Senthil Rajkeerthana, Verma Mohankumar, Balasubramaniem Ashokkumar, Perumal Varalakshmi

Abstract read
In one paragraph

Article in Molecular diversity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Derivation, Functionalization of (S)-Goniothalamin fromMolecules (Basel, Switzerland) · 2022
    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

8 authors.

Sathaiah GunaseelanDepartment of Molecular Microbiology, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, 625 021, India.
Malaisamy ArunkumarDepartment of Genetic Engineering, 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.
Santhalingam GayathriDepartment of Genetic Engineering, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
Senthil RajkeerthanaDepartment of Molecular Microbiology, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, 625 021, India.
Verma MohankumarDepartment of Molecular Microbiology, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamil Nadu, 625 021, 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, 625 021, India. pvlakshmi.biotech@mkuniversity.org.ORCID http://orcid.org/0000-0002-5420-4688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past year, owing to the emergent demand for the search for potential COVID-19 therapeutics, identifying alternative candidates from biological sources is one of the sustainable ways to reinforce the drug discovery process. Marine macroalgae have numerous advantages because of the richest availability of underexploited bioactive compounds. Polyphenolic compounds like phlorotannins obtained from brown macroalgae are reported as proven antiviral and immunostimulatory agents. Thus, the present study evaluated the possibility of phlorotannins as antagonists to the multiple target proteins essential for SARS-CoV-2 replication. Twenty different types of potent phlorotannins were targeted against druggable target proteins, viz., 3CLpro, RdRp, and Spro using AutoDock molecular docking, drug-likeness were assessed by ADMET profiling (QikProp module). Further, validated with 200 ns molecular dynamics (MD) simulation (Desmond module) for the top-ranked phlorotannins based on docking binding affinities. Among the twenty phlorotannins studied, eckol hexacetate, phlorofucofuroeckol, fucofuroeckol, and bifuhalol-hexacetate showed significant binding affinities across the selected targets. Besides, MD simulations highlighted Glu166, Gln189, Cys145, and Thr190 tetrad as potential interaction sites to inhibit 3CLpro's activity. Moreover, phlorotannins were confirmed to be druglike, with no major deviation observed in ADMET-profiling. Hence, phlorotannins could be therapeutic candidates against SARS-CoV-2. However, further investigations are needed to prove its efficacy as an antiviral agent. Conclusively, this study may envisage that the novel finding could notably impact the advancement of antiviral interventions for COVID-19 in the near future.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Antiviral AgentsHumansMolecular Docking SimulationMolecular Dynamics SimulationProtease InhibitorsAntiviral AgentsProtease InhibitorsAntiviralCOVID-19Molecular docking and dynamics simulationPhlorotanninPolyphenolSARS-CoV-2

Identifiers

PMID35152367
PMCPMC9636370

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.