Evidence mapPaperPMID 38223813Full record

ArticleJournal of traditional and complementary medicine2024

Sumit Kumar Mandal, Md Muzaffar-Ur Rehman, Ashish Katyal, Kanishk Rajvanshi, Manoj Kannan, Mohit Garg, Sankaranarayanan Murugesan, P R Deepa

Open access · diamondAbstract read
In one paragraph

Article in Journal of traditional and complementary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Potential Antiviral Compounds fromMolecules (Basel, Switzerland) · 2025
    Article
  2. Article
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

Sumit Kumar MandalDepartment of Biological Sciences, Birla Institute of Technology & Science (BITS Pilani), Pilani Campus, Pilani, 333031, Rajasthan, India.
Md Muzaffar-Ur RehmanMedicinal Chemistry Research Laboratory, Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Pilani, 333031, Rajasthan, India.
Ashish KatyalDepartment of Biological Sciences, Birla Institute of Technology & Science (BITS Pilani), Pilani Campus, Pilani, 333031, Rajasthan, India.
Kanishk RajvanshiDepartment of Biological Sciences, Birla Institute of Technology & Science (BITS Pilani), Pilani Campus, Pilani, 333031, Rajasthan, India.
Manoj KannanDepartment of Biological Sciences, Birla Institute of Technology & Science (BITS Pilani), Pilani Campus, Pilani, 333031, Rajasthan, India.
Mohit GargDepartment of Chemical Engineering, Birla Institute of Technology and Science Pilani, Pilani Campus, Pilani, 333031, Rajasthan, India.
Sankaranarayanan MurugesanMedicinal Chemistry Research Laboratory, Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Pilani, 333031, Rajasthan, India.
P R DeepaDepartment of Biological Sciences, Birla Institute of Technology & Science (BITS Pilani), Pilani Campus, Pilani, 333031, Rajasthan, India.
Birla Institute of Technology and Science, Pilani · INPlaksha University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: Novel nature of the viral pathogen SARS-CoV-2 and the absence of standard drugs for treatment, have been a major challenge to combat this deadly infection. Natural products offer safe and effective remedy, for which traditional ethnic medicine can provide leads. An indigenous poly-herbal formulation, Kabasura Kudineer from Siddha system of medicine was evaluated here using a combination of computational approaches, to identify potential inhibitors against two anti-SARS-CoV-2 targets - post-fusion Spike protein (structural protein) and main protease (Mpro, non-structural protein). Experimental procedure: We docked 32 phytochemicals from the poly-herbal formulation against viral post-fusion Spike glycoprotein and Mpro followed by molecular dynamics using Schrodinger software. Drug-likeness analysis was performed using machine learning (ML) approach and pkCSM. Results: The binding affinity of the phytochemicals in Kabasura Kudineer revealed the following top-five bioactives: Quercetin > Luteolin > Chrysoeriol > 5-Hydroxy-7,8-Dimethoxyflavone > Scutellarein against Mpro target, and Gallic acid > Piperlonguminine > Chrysoeriol > Elemol > Piperine against post-fusion Spike protein target. Quercetin and Gallic acid exhibited binding stability in complexation with their respective viral-targets and favourable free energy change as revealed by the molecular dynamics simulations and MM-PBSA analysis. Conclusion: These outcomes provide: (a) potential mechanism for the anti-viral efficacy of the indigenous Siddha formulation, targeting Mpro and post-fusion Spike protein (b) top bioactive lead-molecules that may be developed as natural product-based anti-viral pharmacotherapy and their pleiotropic protective effects may be leveraged to manage co-morbidities associated with COVID-19.

Indexed as

COVID-19Dynamicsiddha medicineKabasura kudineerMolecular dockingMproPost fusion spike proteinSARS-CoV-2

Identifiers

PMID38223813
PMCPMC10785248
OpenAlexW4384156655

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.