Evidence map›Paper›PMID 40877400›Full record

ArticleScientific reports2025

Molecular dynamics simulations based siRNA design against GPR10 reveals stable RNAi therapeutics for hormone-dependent uterine fibroids.

Srineevas Sriram, Chandresh Palanichamy, P T Subash, Manshi Kumari Gupta, C Sudandiradoss

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Srineevas SriramDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Chandresh PalanichamyDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
P T SubashDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Manshi Kumari GuptaDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
C SudandiradossDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India. csudandiradoss@vit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uterine fibroids, though benign in nature, are burdensome tumors of the myometrium and continue to weigh heavily on the landscape of women's health. They affect millions and yet receive a fraction of the therapeutic innovation afforded to malignant diseases. Despite their prevalence, the molecular underpinnings of fibroid pathogenesis have long been met with a blind eye in drug development. Recent insights, however, reveal G-protein-coupled receptor 10 (GPR10) as a central driver of fibroid growth, promoting cell survival through the PI3K/Akt and MAPK/ERK signaling pathways following REST repression. In this study, we present a rigorous, computationally guided approach to design small interfering RNAs (siRNAs) that silence GPR10 expression at the transcriptomic level. Beginning with a library of 275 siRNA candidates, we undertook a layered in-silico refinement process, combining thermodynamic assessment, secondary structure modeling and off-target filtration, to distill a shortlist of ten high-confidence molecules. These were subjected to structural docking against Argonaute 2, the catalytic engine of the RNA-induced silencing complex, revealing siRNA8 and siRNA12 as lead candidates distinguished by robust binding affinity, high predicted silencing efficacy, which was greater than 93.5%, and precise conformational fit. Subsequent molecular dynamics simulations under CHARMM-GUI/CHARMM36m force field, confirmed the structural stability and sustained silencing potential of the complex. Collectively, these findings identify GPR10 as a therapeutically actionable driver in fibroid biology and lay the groundwork for precision RNAi strategies targeting non-malignant, yet clinically neglected, hormone-dependent disorders.

Indexed as

LeiomyomaMolecular Dynamics SimulationReceptors, G-Protein-CoupledRNAi TherapeuticsRNA, Small InterferingUterine NeoplasmsFemaleHumansMolecular Docking SimulationRNA InterferenceReceptors, G-Protein-CoupledRNA, Small InterferingArgonaute 2CHARMM36 force fieldCHARMM-GUIGPR10In silico drug designMolecular dynamicsRNA interferenceRNAi therapeuticsSiRNAUterine fibroids

Identifiers

PMID40877400
PMCPMC12394437

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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.