Evidence map›Paper›PMID 42005984›Full record

ArticleIn silico pharmacology2026

Piceid as a promising candidate for multi-target adjunctive therapeutic for inflammation-associated cervical cancer progression: an in silico approach.

Shamanth D Harishkumar, Shuaib Pasha, Bhavana Harendra, Chandan Dharmashekar, Anisha Jain, Shivananju Nanjunda Swamy, Shiva Prasad Kollur, Chandan Shivamallu, Bhargav Shreevatsa

Abstract read
In one paragraph

Article in In silico pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Shamanth D HarishkumarDepartment of Biotechnology and Bioinformatics, School of Life Sciences , JSS Academy of Higher Education and Research, Mysuru, Karnataka 570 015 India.ORCID 0009-0005-1568-477X
Shuaib PashaDepartment of Biotechnology and Bioinformatics, School of Life Sciences , JSS Academy of Higher Education and Research, Mysuru, Karnataka 570 015 India.
Bhavana HarendraDepartment of Biochemistry, JSS medical College, JSS Academy of Higher Education and Research, Karnataka 570015 Mysuru, India.
Chandan DharmashekarDepartment of Microbiology, School of Life Sciences, JSS Academy of Higher Education and Research, Mysuru, Karnataka 570015 India.
Anisha JainDepartment of Biotechnology, JSS Science and Technology University, Jayachamarajendra College of Engineering, JSS Technical Institutions Campus, Mysuru, Mysuru, 570 006 Karnataka India.
Shivananju Nanjunda SwamyDepartment of Biotechnology, JSS Science and Technology University, Jayachamarajendra College of Engineering, JSS Technical Institutions Campus, Mysuru, Mysuru, 570 006 Karnataka India.
Shiva Prasad KollurSchool of Physical Sciences, Amrita Vishwa Vidyapeetham Mysuru, Mysuru, Karnataka 570006 India.
Chandan ShivamalluDepartment of Biotechnology and Bioinformatics, School of Life Sciences , JSS Academy of Higher Education and Research, Mysuru, Karnataka 570 015 India.
Bhargav ShreevatsaDepartment of Microbiology, School of Life Sciences, JSS Academy of Higher Education and Research, Mysuru, Karnataka 570015 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer remains a major global health challenge, as persistent high-risk human papillomavirus (HPV) infection along with chronic inflammation is one of the primary drivers that allows progression of cervical cancer. Despite recent advances in treatment strategies, there are still a lack of effective multi-target therapies that will modulate inflammatory, apoptotic and immune-regulatory pathways simultaneously. The originality of this study lies in conducting a comprehensive evaluation of piceid, as a multi-target immune-modulatory agent for cervical cancer focusing on molecular networks associated with inflammation. An integrated computational and experimental system was utilized to evaluate the potential therapeutic activity of piceid against molecular targets associated with cervical cancer. Molecular docking, MM-GBSA binding free energy calculations, molecular dynamics simulation for stability assessment of the complexes, ADMET profiling for estimating pharmacokinetic and toxic properties, and density functional theory (DFT) to assess electronic and chemical reactivity properties were all conducted in silico. In vitro validation of results was conducted using an MTT cell viability assay. Molecular docking revealed favorable binding of piceid to all five cervical cancer associated targets, with strongest affinity toward TGFBR2 (- 6.530 kcal/mol) and CASP8 (- 5.873 kcal/mol) which was further confirmed using MM-GBSA analysis. Molecular dynamics simulations (200 ns) demonstrated stable and flexible piceid-CASP8 and piceid-TGFBR2 complexes, with RMSD stabilization and minimal RMSF fluctuations in binding regions. Density functional theory analysis revealed favorable electronic properties supporting hydrogen bonding and electrostatic interactions. ADMET profiling predicted an overall favorable pharmacokinetic profile. Piceid exhibited dose-dependent cytotoxicity against HeLa cervical cancer cells, inducing marked morphological alterations, although with a higher IC₅₀ than doxorubicin. These findings suggest that piceid may serve as a promising candidate for multi-target immune-modulatory activity to prevent the progress of Cervical Cancer. Grahical abstract:

Indexed as

Apoptosis regulationCervical cancerChronic inflammationImmuno-modulationPiceid

Identifiers

PMID42005984
PMCPMC13090405

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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.