Evidence map›Paper›PMID 34530072›Full record

ArticleMicrobial pathogenesis2021

An evidence of microalgal peptides to target spike protein of COVID-19: In silico approach.

Davoodbasha MubarakAli, Jaulikar MohamedSaalis, Raghunathan Sathya, Navabshan Irfan, Jung-Wan Kim

Abstract read
In one paragraph

Article in Microbial pathogenesis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Marine-Derived Peptides fromMicroorganisms · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Article
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  7. Article
  8. Review
  9. Article
  10. Review
  11. Comprehensive Review on Rapid Diagnosis of New Infection COVID-19.Applied biochemistry and biotechnology · 2022
    Review
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

5 authors.

Davoodbasha MubarakAliSchool of Life Sciences, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai - 600048, India; Division of Bioengineering, Incheon National University, Republic of Korea. Electronic address: mubinano@gmail.com.
Jaulikar MohamedSaalisSchool of Life Sciences, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai - 600048, India.
Raghunathan SathyaSchool of Life Sciences, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai - 600048, India.
Navabshan IrfanCrescent School of Pharmacy, B.S Abdur Rahman Crescent Institute of Science and Technology, Chennai, 600048, India.
Jung-Wan KimDivision of Bioengineering, Incheon National University, Republic of Korea. Electronic address: kjw5864@inu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of the novel coronavirus (COVID-19) has affected millions of lives and it is one of the deadliest viruses ever known and the effort to find a cure for COVID-19 has been very high. The purpose of the study was to investigate the anti-COVID effect from the peptides derived from microalgae. The peptides from microalgae exhibit antimicrobial, anti-allergic, anti-hypersensitive, anti-tumor and immune-modulatory properties. In the In silico study, 13 cyanobacterial specific peptides were retrieved based on the extensive literature survey and their structures were predicted using Discovery Studios Visualizer. The spike protein of the novel COVID19 was retrieved from PDB (6LU7) and further molecular docking was done with the peptides through CDOCKER. The five peptides were bound clearly to the spike protein (SP) and their inhibitory effect towards the SP was promising among 13 peptides were investigated. Interestingly, LDAVNR derived from S.maxima have excellent binding and interaction energy showed -113.456 kcal/mol and -71.0736 kcal/mol respectively to target SP of COVID. The further investigation required for the in vitro confirmation of anti-COVID from indigenous microalgal species for the possible remedy in the pandemic.

Indexed as

MicroalgaeAntiviral AgentsComputer SimulationMolecular Docking SimulationPeptidesSARS-CoV-2Spike Glycoprotein, CoronavirusAntiviral AgentsPeptidesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19Microalgal peptidesMolecular targetSpike protein

Identifiers

PMID34530072
PMCPMC8436434

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.