Evidence map›Paper›PMID 35700199›Full record

ArticlePloS one2022

Senna makki and other active phytochemicals: Myths and realities behind covid19 therapeutic interventions.

Naila Zaman, Nousheen Parvaiz, Rabia Farid, Afifa Navid, Ghulam Abbas, Syed Sikander Azam

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
0.2field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Naila ZamanComputational Biology Lab, National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.ORCID 0000-0002-0664-6545
Nousheen ParvaizComputational Biology Lab, National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.
Rabia FaridComputational Biology Lab, National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.
Afifa NavidComputational Biology Lab, National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.
Ghulam AbbasComputational Biology Lab, National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.
Syed Sikander AzamComputational Biology Lab, National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.ORCID 0000-0001-5624-6120
Quaid-i-Azam University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate the binding potential of chemical compounds of Senna in comparison with the experimentally tested active phytochemicals against SARS-CoV-2 protein targets to assist in prevention of infection by exploring multiple treatment options. The entire set of phytochemicals from both the groups were subjected to advanced computational analysis that explored functional molecular descriptors from a set of known medicinal-based active therapeutics followed by MD simulations on multiple SARS-CoV-2 target proteins. Our findings manifest the importance of hydrophobic substituents in chemical structures of potential inhibitors through cross-validation with the FDA-approved anti-3CLpro drugs. Noteworthy improvement in end-point binding free energies and pharmacokinetic profiles of the proposed compounds was perceived in comparison to the control drug, vizimpro. Moreover, the identification of common drug targets namely; AKT1, PTGS1, TNF, and DPP4 between proposed active phytochemicals and Covid19 using network pharmacological analysis further substantiate the importance of medicinal scaffolds. The structural dynamics and binding affinities of phytochemical compounds xanthoangelol_E, hesperetin, and beta-sitosterol reported as highly potential against 3CLpro in cell-based and cell-free assays are consistent with the computational analysis. Whereas, the secondary metabolites such as sennosides A, B, C, D present in higher amount in Senna exhibited weak binding affinity and instability against the spike protein, helicase nsp13, RdRp nsp12, and 3CLpro. In conclusion, the results contravene fallacious efficacy claims of Senna tea interventions circulating on electronic/social media as Covid19 cure; thus emphasizing the importance of well-examined standardized data of the natural products in hand; thereby preventing unnecessary deaths under pandemic hit situations worldwide.

Indexed as

COVID-19 Drug TreatmentAntiviral AgentsHumansMolecular Docking SimulationPhytochemicalsSARS-CoV-2SennosidesAntiviral AgentsPhytochemicalsSennosides

Identifiers

PMID35700199
PMCPMC9197063
OpenAlexW4282930277

What OpenQuestion holds

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LicenceCC BY
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.