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Published on: May 9, 2025
Network pharmacology, molecular docking, and dynamics simulation of 7-phenyl-5-(p-tolyl)pyrido[2,3-d]
Boutaina Addoum1, Mohamed Chebaibi2, Soukayna Baammi3
1Biology and Medical Research Unit, National Center for Energy, Nuclear Sciences and Techniques, Rabat, Morocco.
Abstract:
Cancer remains a leading cause of morbidity and mortality worldwide, and the effectiveness of current therapeutic strategies is often limited by drug resistance, tumor heterogeneity, and suboptimal clinical responses. Consequently, multi-target drug design has gained increasing attention as a promising strategy to simultaneously modulate several interconnected pathways involved in tumor progression. In this context, the present study evaluated 7-phenyl-5-(p-tolyl)pyrido[2,3-d]pyrimidin-4-amine as a potential multitarget scaffold for anticancer drug discovery using an integrated computational framework. To explore its possible polypharmacological profile, network pharmacology was first applied to identify cancer-associated targets linked to the compound, after which four representative proteins involved in complementary oncogenic mechanisms, namely telomerase reverse transcriptase (TERT), murine double minute 2 (MDM2), epidermal growth factor receptor (EGFR), and cyclin-dependent kinase 2 (CDK2), were selected for further investigation. Subsequently, molecular docking was performed to predict ligand-target interactions, while 100 ns molecular dynamics simulations were conducted to assess the structural stability of the resulting complexes. In parallel, in silico ADMET analysis was used to evaluate the pharmacokinetic and toxicity profile of the compound. The docking results showed favorable predicted binding affinities across the selected targets, ranging from -8.1 to -9.7 kcal/mol, suggesting potential interactions with multiple cancer-related proteins. Consistently, molecular dynamics simulations supported the stability of the ligand-protein complexes during the simulation period, as reflected by RMSD, RMSF, radius of gyration, and hydrogen-bond analyses. Moreover, ADMET predictions indicated acceptable drug-like properties; however, toxicity alerts, including possible hepatotoxicity, neurotoxicity, blood-brain barrier penetration, and cytochrome P450 inhibition, highlight the need for further structural optimization. Overall, these findings suggest that this pyrido[2,3-d]pyrimidine derivative may represent a preliminary scaffold for multitarget anticancer investigation, although experimental validation remains essential to confirm its biological activity, tumor selectivity, safety, and therapeutic relevance.
Insights
This study explores a pyrido[2,3-d]pyrimidine derivative as a potential multi-target anticancer drug scaffold. Computational analysis shows promising interactions with key cancer proteins, but further optimization is needed for safety and efficacy.
Area of Science:
- Medicinal Chemistry
- Computational Drug Discovery
- Pharmacology
Background:
- Cancer remains a major global health challenge, with current treatments limited by resistance and heterogeneity.
- Multi-target drug design offers a promising strategy to overcome these limitations by modulating interconnected cancer pathways.
- Pyrido[2,3-d]pyrimidine derivatives are being investigated for their potential as anticancer agents.
Purpose of the Study:
- To evaluate 7-phenyl-5-(p-tolyl)pyrido[2,3-d]pyrimidin-4-amine as a potential multitarget scaffold for anticancer drug discovery.
- To explore the polypharmacological profile of the compound using an integrated computational approach.
- To identify and investigate key cancer-associated targets for potential drug development.
Main Methods:
- Network pharmacology was used to identify cancer-associated targets.
- Four key proteins (TERT, MDM2, EGFR, CDK2) were selected for in-depth analysis.
- Molecular docking, molecular dynamics simulations, and in silico ADMET analysis were performed.
Main Results:
- The compound exhibited favorable predicted binding affinities (-8.1 to -9.7 kcal/mol) against selected cancer targets.
- Molecular dynamics simulations confirmed the stability of ligand-protein complexes.
- In silico ADMET predictions suggested acceptable drug-like properties, with some toxicity alerts requiring attention.
Conclusions:
- The pyrido[2,3-d]pyrimidine derivative shows potential as a preliminary scaffold for multitarget anticancer drug discovery.
- Further structural optimization is necessary to address identified toxicity concerns.
- Experimental validation is crucial to confirm biological activity, selectivity, safety, and therapeutic relevance.
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