Evidence map›Paper›PMID 40028476›Full record

ArticleMolecular biology research communications2025

Computational analysis of Ayurvedic herbs to explore their potential role as anti-cervical cancer agents.

Suhani Dange, Neha Aggarwal, Rivi Verma, Yashika Sinha, Sonakshi Dadhiya, Gagan Mittal, Ruchi Sachdeva

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In one paragraph

Article in Molecular biology research communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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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

7 authors.

Suhani DangeDepartment of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector-32, Chandigarh, India.
Neha AggarwalDepartment of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector-32, Chandigarh, India.
Rivi VermaDepartment of Biotechnology, Panjab University, Chandigarh, India.
Yashika SinhaDepartment of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector-32, Chandigarh, India.
Sonakshi DadhiyaDepartment of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector-32, Chandigarh, India.
Gagan MittalDepartment of Zoology, RKSD College, Kaithal, Haryana, India.
Ruchi SachdevaDepartment of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector-32, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer is one of the common types of cancer in women. Treatment regimens include use of chemotherapy but it leads to certain side effects thereby creating a need for safer therapeutic options. Ayurveda has a great potential to provide better treatment strategies. In this study, computational approaches have been employed to investigate the molecular mechanism of anti-cervical cancer Ayurvedic herbs. Initially, Ayurvedic plants possessing anti-cervical cancer activities were obtained from literature. Bioactive compounds present in such plants were evaluated for drug-likeliness, biological functions and associations with cancer-related pathways. This resulted in the most promising drug-like bioactive compounds which were found to target cancer pathways like microRNA and proteoglycans, Human papillomavirus infection. Anti-cervical cancer activity possessing herbs derived from the study include

Indexed as

Anti-cervical cancerAyurvedic herbsBioactive compoundsPathwaysProtein targets

Identifiers

PMID40028476
PMCPMC11865937

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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.