Evidence map›Paper›PMID 41484214›Full record

ArticleScientific reports2026

Establishing FDA-approved oncology drugs as GPR176 inhibitor through homology modelling, molecular docking, MMGBSA, DFT, and molecular dynamics simulation.

Felix Oluwasegun Ishabiyi, Haruna Isiyaku Umar, Tanmoy Dutta, Okoyenta Celestina Onyinye, Olusola Daniel Damola, Leyla Budagova, Denekew Temesgen, Mohammed Bourhia, Ridwan Opeyemi Bello, Esmael M Alyami and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 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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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Felix Oluwasegun IshabiyiFaculty of Pharmacy, University of Ibadan, Ibadan, Nigeria. felixishabiyi@gmail.com.
Haruna Isiyaku UmarComputer-Aided Therapeutic Discovery and Design Laboratory, Akure, Nigeria. uhumar@futa.edu.ng.
Tanmoy DuttaDepartment of Chemistry, JIS College of Engineering, Nadia, Kalyani, 741235, West Bengal, India.
Okoyenta Celestina OnyinyeBiochemistry and Nutrition Department, Nigerian Institute of Medical Research, Yaba, Lagos, Nigeria.
Olusola Daniel DamolaDepartment of Biochemistry, Kwara State University, Malete, Nigeria.
Leyla BudagovaDepartment of Biology, Faculty of Science, Selcuk University, Konya, Turkey.
Denekew TemesgenDepartment of Biology, Bahir Dar University, P.O.Box 79, Bahir Dar, Ethiopia. temesgenresearcher@gmail.com.
Mohammed BourhiaSwalife Biotech Ltd Unit 3D North Point House, North Point Business Park, Cork, Ireland.
Ridwan Opeyemi BelloFaculty of Medicine, University of Queensland, Brisbane, Australia.
Esmael M AlyamiDepartment of Biology, College of Science, King Khalid University, PO Box 960, Asir, Abha, 61421, Saudi Arabia.
Mona AlsolamiDepartment of Biology, College of Science, King Khalid University, PO Box 960, Asir, Abha, 61421, Saudi Arabia.
Omar A AlmohammedDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Funding

King Saud University ORF-2025-77
6 · The paper itself

Abstract

The GPR176 protein is a cell membrane protein implicated in human diseases, especially cancers. Numerous studies have highlighted its overexpression, which is considered a major driver of tumorigenesis. Reducing its overexpression has been shown by many studies to be a viable pharmacological strategy for cancer therapy, prompting this study to search for drug molecules from existing FDA-approved drugs. We performed homology modeling of the GPR176 protein to obtain its 3D structure, conducted docking simulations of FDA-approved drugs retrieved from ReDO_DB to identify compounds with strong binding affinities, and carried out density functional theory quantum calculations and molecular dynamic simulations to assess stability and compactness. Additionally, pharmacokinetic profiling and drug-likeness analyses were performed to identify molecules capable of inhibiting and potentially deorphanizing GPR176. We identified Fostamatinib and Ticagrelor as both compounds exhibited binding affinities of -11.503 kcal/mol and − 11.882 kcal/mol, which indicates that both compounds effectively interact with the protein; they both had minimal deviations from their natural states as the RMSD values of 0.35 and 0.45 characterize their stability profile; energy gap of -0.1327 eV and − 0.1371 eV, which illuminates their reactivity to the protein and favorable pharmacokinetic profiles compared to the control, Vismodegib. This leads to the identification of Fostamatinib and Ticagrelor as potential inhibitors of the protein, and thus, we recommend further experimental studies to validate these findings.

Indexed as

Antineoplastic AgentsMolecular Docking SimulationReceptors, G-Protein-CoupledDensity Functional TheoryDrug ApprovalHumansMolecular Dynamics SimulationProtein BindingUnited StatesUnited States Food and Drug AdministrationAntineoplastic AgentsReceptors, G-Protein-CoupledComputational drug designFDA-aproved drugsGRP176Homology modellingOncology

Identifiers

PMID41484214
PMCPMC12804822

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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.