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Article

A Hybrid in Silico Approach for Identifying Dual VEGFR/RAS Inhibitors as Potential Anticancer and Anti-Angiogenic Agents

1
Dipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche “STEBICEF”, University of Palermo, Viale delle Scienze, Ed. 17, 90128 Palermo, Italy
2
Fondazione Umberto Veronesi (FUV), Via Solferino 19, 20121 Milano, Italy
3
National Biodiversity Future Center (NBFC), Piazza Marina 61, 90133 Palermo, Italy
*
Author to whom correspondence should be addressed.
Pharmaceuticals 2025, 18(10), 1579; https://doi.org/10.3390/ph18101579 (registering DOI)
Submission received: 22 September 2025 / Revised: 13 October 2025 / Accepted: 15 October 2025 / Published: 18 October 2025
(This article belongs to the Special Issue Application of Computer Simulation in Drug Design)

Abstract

Background: Angiogenesis, the physiological process by which new blood vessels originate from pre-existing ones, can be triggered by tumor cells to promote the growth, survival, and progression of cancer. Malignant tumors require a constant blood supply to meet their needs for oxygen and nutrients, making angiogenesis a key process in tumor development. Its pathologic role is caused by the dysregulation of signaling pathways, particularly those involving VEGFR-2, a key mediator of angiogenesis, and the K-RAS G12C mutant, a promoter of VEGF expression. Given their critical involvement in tumor progression, these targets represent promising candidates for new cancer therapies. Methods and Results: In this study, we applied an in silico hybrid and hierarchical virtual screening approach to identify potential dual VEGFR-2/K-RAS G12C inhibitors with anticancer and antiangiogenic properties. To this end, we screened the National Cancer Institute (NCI) database through ADME filtering tools. The refined dataset was then submitted to the ligand-based Biotarget Predictor Tool (BPT) in a multitarget mode. Subsequently, structure-based analysis, including molecular docking studies on VEGFR and K-RAS G12C, was performed to investigate the interactions of the most promising small molecules with both targets. Conclusions: Finally, the molecular dynamics simulations suggested compound 737734 as a promising small molecule with high stability in complex with both VEGFR-2 and K-RAS G12C, highlighting its potential as a dual-target inhibitor for cancer therapy.
Keywords: angiogenesis; VEGFR-2; K-RAS; anticancer activity; inhibitors; NCI database angiogenesis; VEGFR-2; K-RAS; anticancer activity; inhibitors; NCI database
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MDPI and ACS Style

Bono, A.; La Monica, G.; Alamia, F.; Tocco, D.; Lauria, A.; Martorana, A. A Hybrid in Silico Approach for Identifying Dual VEGFR/RAS Inhibitors as Potential Anticancer and Anti-Angiogenic Agents. Pharmaceuticals 2025, 18, 1579. https://doi.org/10.3390/ph18101579

AMA Style

Bono A, La Monica G, Alamia F, Tocco D, Lauria A, Martorana A. A Hybrid in Silico Approach for Identifying Dual VEGFR/RAS Inhibitors as Potential Anticancer and Anti-Angiogenic Agents. Pharmaceuticals. 2025; 18(10):1579. https://doi.org/10.3390/ph18101579

Chicago/Turabian Style

Bono, Alessia, Gabriele La Monica, Federica Alamia, Dennis Tocco, Antonino Lauria, and Annamaria Martorana. 2025. "A Hybrid in Silico Approach for Identifying Dual VEGFR/RAS Inhibitors as Potential Anticancer and Anti-Angiogenic Agents" Pharmaceuticals 18, no. 10: 1579. https://doi.org/10.3390/ph18101579

APA Style

Bono, A., La Monica, G., Alamia, F., Tocco, D., Lauria, A., & Martorana, A. (2025). A Hybrid in Silico Approach for Identifying Dual VEGFR/RAS Inhibitors as Potential Anticancer and Anti-Angiogenic Agents. Pharmaceuticals, 18(10), 1579. https://doi.org/10.3390/ph18101579

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