Evidence map›Paper›PMID 41977315›Full record

ArticleInternational journal of molecular sciences2026

Computational Identification of Triphala-Derived Sterol Compounds as Putative Agonists of the Human Takeda G Protein-Coupled Receptor (TGR5).

Yathindra Maruthi Prasad, Sneha Ramaiah Gowda, Nandita Shantamurthy, Allwin Ebinesar Jacob Samuel Sehar, Sirajunnisa Abdul Razack, Somdet Srichairatanakool, Yuvaraj Ravikumar

Abstract read
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Article in International journal of molecular sciences, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yathindra Maruthi PrasadDepartment of Biotechnology, Acharya Institute of Technology, Bangalore 560107, India.
Sneha Ramaiah GowdaDepartment of Biotechnology, Acharya Institute of Technology, Bangalore 560107, India.
Nandita ShantamurthyDepartment of Biotechnology, Acharya Institute of Technology, Bangalore 560107, India.
Allwin Ebinesar Jacob Samuel SeharDepartment of Biotechnology, Acharya Institute of Technology, Bangalore 560107, India.
Sirajunnisa Abdul RazackDepartment of Biotechnology, Acharya Institute of Technology, Bangalore 560107, India.
Somdet SrichairatanakoolDepartment of Biochemistry, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-5706-8781
Yuvaraj RavikumarDepartment of Biotechnology, Acharya Institute of Technology, Bangalore 560107, India.

Funding

Chiang Mai University 11/2025
6 · The paper itself

Abstract

The presence of an unbalanced gut microbiome and the dysregulation of bile acid signalling are considered pivotal causes of various inflammation-based diseases. The Takeda G protein-coupled receptor (TGR5), TGR5 is a bile acid-responsive receptor that modulates inflammatory signalling pathways, making it an enticing molecular target for the discovery of novel anti-inflammatory agents. Herein, a comprehensive in silico approach was employed to identify potential TGR5 agonists from sterol-rich phytocompounds present in Triphala, a traditional polyherbal formulation. Using in silico computational methods, such as molecular docking and molecular dynamics simulations (MDS), we screened the putative agonistic potential of 10 phytocompounds obtained from

Indexed as

Plant ExtractsReceptors, G-Protein-CoupledSterolsErgosterolHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingErgosterolGPBAR1 protein, humanPlant ExtractsReceptors, G-Protein-CoupledSterolstriphalaanti-inflammatorymolecular dockingmolecular simulations and dynamicsTGR5 agonistTriphala

Identifiers

PMID41977315
PMCPMC13073596

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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.