Evidence map›Paper›PMID 42295420›Full record

ArticleJournal of computer-aided molecular design2026

Quercetin targets IGF1 signaling in gastric cancer: a synergy of network pharmacology, molecular simulations, and in vitro functional assays.

Shao-Ji Li, Xiaoping Yang, Wedad Mawkili, Faten F Bin Dayel, Abduallah Mawkili, Amirah Albaqami

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Article in Journal of computer-aided molecular design, 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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5 · Who and what money

Authors and funding

6 authors.

Shao-Ji LiSchool of Engineering, Guangzhou College of Technology and Business, Guangzhou, 510850, China.
Xiaoping YangCollege of Food Science, South China Agricultural University, Guangzhou, 510630, Guangdong, China.
Wedad MawkiliDepartment of Pharmacology and Toxicology, College of Pharmacy, Jazan University, Jazan, 45142, Saudi Arabia.
Faten F Bin DayelDepartment of Pharmacology and Toxicology, College of Pharmacy, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj, 11942, Saudi Arabia.
Abduallah MawkiliDepartment of surgery, Jazan University college of Medicine, Jazan, 45142, Saudi Arabia.
Amirah AlbaqamiDepartment of Clinical Laboratory Sciences, Turabah University College, Taif University, Taif, 21944, Saudi Arabia. a.bogami@tu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is one of the main causes of cancer-related global mortality. The emergence of drug resistance and toxicity in current therapies highlights the need for novel treatment strategies. Quercetin, a natural flavonoid, has demonstrated anticancer activity; however, its molecular mechanism, particularly its effect on key targets in GC, remains underexplored. A comprehensive in silico and in vitro methods were used to elucidate the anticancer potential of Quercetin. Network pharmacology analysis was used to identify potential GC-related targets, followed by molecular docking and 200 ns molecular dynamics (MD) simulations to evaluate the binding affinity and stability of the Quercetin-target complex. In vitro experiments, including gene expression analysis and fluorescence binding assays, were conducted using AGS gastric cancer cells to validate the computational findings.nsulin-like growth factor 1 (IGF1) emerged as a key hub gene associated with GC progression. Molecular docking predicted a favorable interaction between Quercetin and IGF1, with a docking score of - 6.3 kcal/mol and multiple hydrogen-bond interactions. MD simulations confirmed the stability of the Quercetin-IGF1 complex, with reduced RMSD values (0.48 nm vs. 0.63 nm for unbound IGF1), favorable free energy profiles, and stable hydrogen bonding. In vitro studies demonstrated a significant downregulation of IGF1 mRNA expression (p < 0.001) and a dose-dependent inhibition of IGF1 activity by Quercetin. The integration of network pharmacology, computational modeling, and experimental validation suggests that Quercetin may modulate the IGF1 signaling axis and influence IGF1-associated pathways in gastric cancer. The stable binding and significant inhibitory effect observed suggests that Quercetin may interrupt IGF1-mediated signaling pathways involved in tumor growth and survival. This study identifies Quercetin as a potential modulator of IGF1-associated signaling pathways with significant therapeutic promise for gastric cancer. The findings provide mechanistic insights supporting the further development of Quercetin as a targeted therapy for IGF1-driven malignancies.

Indexed as

Antineoplastic AgentsInsulin-Like Growth Factor IQuercetinStomach NeoplasmsCell Line, TumorGene Expression Regulation, NeoplasticHumansMolecular Docking SimulationMolecular Dynamics SimulationNetwork PharmacologySignal TransductionAntineoplastic AgentsIGF1 protein, humanInsulin-Like Growth Factor IQuercetinFluorescence binding assayGastric cancerIGF1 inhibitionMolecular simulationsmRNA expressionNetwork pharmacologyQuercetin

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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.