Evidence map›Paper›PMID 34333809›Full record

ArticleProteins2022

An in silico scientific basis for LL-37 as a therapeutic for Covid-19.

Kiran Bharat Lokhande, Tanushree Banerjee, Kakumani Venkateswara Swamy, Payel Ghosh, Manisha Deshpande

Open access · bronzeAbstract read
In one paragraph

Article in Proteins, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.8field-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

25 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Review
  6. Article
  7. Review
  8. Strategic Approaches to Improvise Peptide Drugs as Next Generation Therapeutics.International journal of peptide research and therapeutics · 2023
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  14. Article
  15. Revealing the Acetylcholinesterase Inhibitory Potential ofBioinformatics and biology insights · 2022
    Article
  16. Review
  17. Article
  18. Article
  19. Alarmins, COVID-19 and comorbidities.Annals of medicine · 2021
    Review
  20. 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

5 authors at 3 institutions in 2 countries.

Kiran Bharat LokhandeBioinformatics Research Laboratory, Dr. D.Y. Patil Biotechnology and Bioinformatics Institute, Pune, Maharashtra, India.ORCID https://orcid.org/0000-0001-6945-8288
Tanushree BanerjeeDr. D.Y. Patil Biotechnology and Bioinformatics Institute, Dr. D.Y. Patil Vidyapeeth, Bangalore-Mumbai Highway, Pune, Maharashtra, India.
Kakumani Venkateswara SwamyMIT School of Bioengineering Sciences & Research, A Constituent Unit of MIT Art, Design and Technology University, Pune, Maharashtra, India.
Payel GhoshBioinformatics Centre, Savitribai Phule Pune University, Pune, Maharashtra, India.
Manisha DeshpandeDr. D.Y. Patil Biotechnology and Bioinformatics Institute, Dr. D.Y. Patil Vidyapeeth, Bangalore-Mumbai Highway, Pune, Maharashtra, India.ORCID https://orcid.org/0000-0002-5786-0066
Dr. D.Y. Patil Vidyapeeth, Pune · INMIT Art, Design and Technology University · INSavitribai Phule Pune University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multi-pronged approach with help in all forms possible is essential to completely overcome the Covid-19 pandemic. There is a requirement to research as many new and different types of approaches as possible to cater to the entire world population, complementing the vaccines with promising results. The need is also because SARS-CoV-2 has several unknown or variable facets which get revealed from time to time. In this work, in silico scientific findings are presented, which are indicative of the potential for the use of the LL-37 human anti-microbial peptide as a therapeutic against SARS-CoV-2. This indication is based on the high structural similarity of LL-37 to the N-terminal helix, with which the virus interacts, of the receptor for SARS-CoV-2, Angiotensin Converting Enzyme 2. Moreover, there is positive prediction of binding of LL-37 to the receptor-binding domain of SARS-CoV-2; this is the first study to have described this interaction. In silico data on the safety of LL-37 are also reported. As Vitamin D is known to upregulate the expression of LL-37, the vitamin is a candidate preventive molecule. This work provides the possible basis for an inverse correlation between Vitamin D levels in the body and the severity of or susceptibility to Covid-19, as widely reported in literature. With the scientific link put forth herein, Vitamin D could be used at an effective, medically prescribed, safe dose as a preventive. The information in this report would be valuable in bolstering the worldwide efforts to eliminate the pandemic as early as possible.

Indexed as

COVID-19 Drug TreatmentCathelicidinsHumansPandemicsSARS-CoV-2Spike Glycoprotein, CoronavirusVitamin DCAMP protein, humanCathelicidinsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Vitamin DCovid-19in silico structural analysisLL-37molecular dockingtherapeuticvitamin D

Identifiers

PMID34333809
PMCPMC8441666
OpenAlexW3189278042

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.