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.

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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