Evidence map›Paper›PMID 42891767›Full record

ArticleJournal of molecular modeling2026

Phytochemical modulation of DNMT1-mediated DNA methylation: computational insights into breast cancer.

Tripti Gangwar, Abhimanyu Kumar Jha

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Article in Journal of molecular modeling, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Tripti GangwarDepartment of Life Sciences, School of Biosciences and Technology, Galgotias University, Greater Noida, India.
Abhimanyu Kumar JhaDepartment of Biotechnology and Bioengineering, School of Biosciences and Technology, Galgotias University, Greater Noida, India. abhimanyujha630@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextAberrant DNA methylation, particularly DNMT1-mediated hypermethylation of tumor suppressor and DNA repair genes, contributes to breast cancer progression. The limitations associated with existing DNMT inhibitors highlight the need for alternative and potentially safer epigenetic modulators. Here, we developed a computational workflow to identify phytochemicals targeting the catalytic methyltransferase domain of DNMT1. Screening of the SelleckChem phytochemical library identified Echinacoside (-9.56 kcal/mol), 1,2,3,4,6-O-Pentagalloylglucose (-9.49 kcal/mol), and Complanatoside A (-9.24 kcal/mol) as promising candidates based on favourable docking and interaction profiles. Among them, 1,2,3,4,6-O-Pentagalloylglucose exhibited most favorable predicted binding free energy (- 105.31 ± 5.51 kcal/mol) and maintained stable interactions throughout 500 ns molecular dynamics simulation. DFT, PCA, FEL, and QM/MM analyses further supported its favorable electronic characteristics and conformational stability within the DNMT1 catalytic pocket.

methodsStructure-based virtual screening, molecular docking, DFT, 500 ns molecular dynamics simulations, MM/GBSA, PCA, FEL, and QM/MM analyses were integrated to characterize ligand binding, stability, and electronic interactions. These findings represent purely in silico predictions and require experimental validation to establish the DNMT1 inhibitory potential of the identified compounds and their therapeutic relevance.

Indexed as

Breast NeoplasmsDNA (Cytosine-5-)-Methyltransferase 1DNA MethylationPhytochemicalsCatalytic DomainFemaleHumansHydrolyzable TanninsMolecular Docking SimulationMolecular Dynamics SimulationThermodynamicsDNA (Cytosine-5-)-Methyltransferase 1DNMT1 protein, humanHydrolyzable TanninsPhytochemicalsBreast cancerDNMT1DockingMD simulation

Identifiers

PMID42891767

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