Evidence map›Paper›PMID 35649148›Full record

ArticleJournal of food and drug analysis2021

In-silico efficacy of potential phytomolecules from Ayurvedic herbs as an adjuvant therapy in management of COVID-19.

Bhanu Kumar, Ankita Misra, Satyendra Pratap Singh, Yogeshwar Vikram Dhar, Poonam Rawat, Debprasad Chattopadhyay, Saroj Kanta Barik, Sharad Srivastava

Abstract read
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In one paragraph

Article in Journal of food and drug analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Bhanu KumarPharmacognosy Division, CSIR-National Botanical Research Institute, Lucknow, U.P. 226001, India.
Ankita MisraPharmacognosy Division, CSIR-National Botanical Research Institute, Lucknow, U.P. 226001, India.
Satyendra Pratap SinghPharmacognosy Division, CSIR-National Botanical Research Institute, Lucknow, U.P. 226001, India.
Yogeshwar Vikram DharBioinformatics Division, CSIR-National Botanical Research Institute, Lucknow, U.P. 226001, India.
Poonam RawatPharmacognosy Division, CSIR-National Botanical Research Institute, Lucknow, U.P. 226001, India.
Debprasad ChattopadhyayNational Institute of Traditional Medicine, Belagavi, Karnataka 590010, India.
Saroj Kanta BarikPharmacognosy Division, CSIR-National Botanical Research Institute, Lucknow, U.P. 226001, India.
Sharad SrivastavaPharmacognosy Division, CSIR-National Botanical Research Institute, Lucknow, U.P. 226001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent COVID-19 outbreak caused by SARS-CoV-2 virus has sparked a new spectrum of investigations, research and studies in multifarious directions. Efforts are being made around the world for discovery of effective vaccines/drugs against COVID-19. In this context, Ayurveda, an alternative traditional system of medicine in India may work as an adjuvant therapy in compromised patients. We selected 40 herbal leads on the basis of their traditional applications. The phytomolecules from these leads were further screened through in-silico molecular docking against two main targets of SARS-CoV-2 i.e. the spike protein (S; structural protein) and the main protease (M

Indexed as

COVID-19 Drug TreatmentMedicine, AyurvedicPlant PreparationsSARS-CoV-2Coronavirus 3C ProteasesHumansMolecular Docking SimulationPlants, MedicinalSpike Glycoprotein, Coronavirus3C-like proteinase, SARS-CoV-2Coronavirus 3C ProteasesPlant PreparationsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID35649148
PMCPMC9931022

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.