Identification of Natural Compounds as Potential FGFR2 Inhibitors in Cholangiocarcinoma via Virtual Screening and Network-Based Analysis

Introduction: Cholangiocarcinoma is an aggressive neoplasm of bile duct epithelial cells with poor prognosis due to limited treatment options. Fibroblast growth factor receptor 2 (FGFR2) is critical in cholangiocarcinoma by activating pathways such as MAPK/ERK and PI3K/AKT, marking it as a promising therapeutic target. This study aimed to identify natural FGFR2 inhibitors by using computational methods. Methods: 46 natural compounds were selected from PubChem based on favorable physicochemical properties and drug-likeness criteria. Molecular docking was performed using SwissDock against FGFR2 (PDB ID: 4J97). The top five compounds were further assessed for pharmacokinetics, pharmacodynamics, and toxicity via SwissADME, pkCSM, and DeepPK tools. Additionally, protein-protein interaction networks and pathway enrichment analyses were conducted using the STRING database and KEGG. Results: Docking analysis identified Rutecarpine, Palonosetron, Metribolone, 6-Ketoestradiol, and Gestrinone as the top FGFR2 inhibitors, with docking scores between – 6.34 and – 5.95 kcal/mol. ADMET predictions showed favorable drug- like properties, good bioavailability, and acceptable safety profiles. Network and pathway analyses confirmed FGFR2’s role in key oncogenic pathways, including MAPK, PI3K/AKT, and Ras. Conclusions: This study identified promising FGFR2 inhibitors, particularly Rutecarpine, as potential therapeutic candidates for cholangiocarcinoma, warranting further experimental validation.

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Publication Details

Journal
Pharmedicine journal.
Published
2025-06-27
DOI
https://doi.org/10.62482/pmj.28
Primary Topic
Fibroblast Growth Factor Research
Type
article
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article

Identification of Natural Compounds as Potential FGFR2 Inhibitors in Cholangiocarcinoma via Virtual Screening and Network-Based Analysis

Duygu Sari, Alev Kural, Nazlı Helvacı, Fatih Çon
Pharmedicine journal.
Fibroblast Growth Factor Research
article

Identification of Natural Compounds as Potential FGFR2 Inhibitors in Cholangiocarcinoma via Virtual Screening and Network-Based Analysis

Duygu Sari, Alev Kural, Nazlı Helvacı, Fatih Çon
article en

Abstract

Introduction: Cholangiocarcinoma is an aggressive neoplasm of bile duct epithelial cells with poor prognosis due to limited treatment options. Fibroblast growth factor receptor 2 (FGFR2) is critical in cholangiocarcinoma by activating pathways such as MAPK/ERK and PI3K/AKT, marking it as a promising therapeutic target. This study aimed to identify natural FGFR2 inhibitors by using computational methods. Methods: 46 natural compounds were selected from PubChem based on favorable physicochemical properties and drug-likeness criteria. Molecular docking was performed using SwissDock against FGFR2 (PDB ID: 4J97). The top five compounds were further assessed for pharmacokinetics, pharmacodynamics, and toxicity via SwissADME, pkCSM, and DeepPK tools. Additionally, protein-protein interaction networks and pathway enrichment analyses were conducted using the STRING database and KEGG. Results: Docking analysis identified Rutecarpine, Palonosetron, Metribolone, 6-Ketoestradiol, and Gestrinone as the top FGFR2 inhibitors, with docking scores between – 6.34 and – 5.95 kcal/mol. ADMET predictions showed favorable drug- like properties, good bioavailability, and acceptable safety profiles. Network and pathway analyses confirmed FGFR2’s role in key oncogenic pathways, including MAPK, PI3K/AKT, and Ras. Conclusions: This study identified promising FGFR2 inhibitors, particularly Rutecarpine, as potential therapeutic candidates for cholangiocarcinoma, warranting further experimental validation.

Pharmedicine journal.Vol. 2(2)
University of Health Science (KH)
Openalex Percentile: Top 86%
Fibroblast Growth Factor Research
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Identification of Natural Compounds as Potential FGFR2 Inhibitors in Cholangiocarcinoma via Virtual Screening and Network-Based Analysis — Duygu Sari, Alev Kural, et al. · Pharmedicine journal. (2025) | TGRS Research Map | TGRS