Evidence map›Paper›PMID 42028569›Full record

ArticleFrontiers in bioinformatics2026

Transcriptomics-driven identification of CDK1 as a central oncogenic driver in TNBC: an

Uma Chaudhary, Sidharth Kumar Nanda Kumar, Magesh Ramaswamy, Mythili Asaithambi

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Uma Chaudhary *Department of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
Sidharth Kumar Nanda Kumar *Department of Biotechnology, Sri Ramachandra Institute of Higher Education and Research (DU), Chennai, Tamil Nadu, India.
Magesh RamaswamyDepartment of Biotechnology, Sri Ramachandra Institute of Higher Education and Research (DU), Chennai, Tamil Nadu, India.
Mythili AsaithambiDepartment of Sensor and Biomedical Technology, School of Electronics Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Triple-negative breast cancer (TNBC) is an aggressive subtype that lacks ER, PR, and HER2 receptors, which limits the availability of targeted therapies. In this study, we analyzed CDK1 as a potential molecular target and evaluated natural compounds that might inhibit its activity. Methods: Transcriptomic comparison revealed 85 commonly upregulated mRNAs in TNBC, and functional enrichment combined with PPI network analysis indicated CDK1 as a major hub gene. To search for potential inhibitors, we screened an anticancer-focused phytochemical library from the SuperNatural 3.0 database using molecular docking followed by ADMET assessment. Results: Among the screened molecules, CID17584963 showed the strongest binding energy (-8.09 kcal/mol) and displayed pharmacokinetic properties comparable to or better than those of paclitaxel. Long-timescale (500 ns) molecular dynamics simulations further supported the stability of the CDK1-CID17584963 complex, with root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration, solvent-accessible surface area (SASA), hydrogen-bond profiles, and principal component analysis (PCA) all indicating consistent interactions throughout the trajectory. Discussion: Taken together, these findings indicate that CID17584963 interacts with CDK1 more stably than the reference drug and may serve as a promising natural compound for further studies in TNBC therapy.

Indexed as

CDK1cell cyclemolecular dynamics simulationphytochemicaltriple-negative breast cancer

Identifiers

PMID42028569
PMCPMC13099761

What Socratic holds

Textmetadata
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 Socratic graph.