Identification of 1,3,4-oxadiazoles as tubulin-targeted anticancer agents: a combined field-based 3D-QSAR,

Agnidipta Das1, Manaswini Sarangi1, Kailash Jangid2

  • 1Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Bathinda, India.

Insights

Researchers developed computational models to identify novel 1,3,4-oxadiazole compounds as potential anti-cancer drugs targeting tubulin. Promising candidates were identified through molecular docking and simulations, paving the way for new cancer therapies.

Area of Science:

  • Medicinal Chemistry
  • Computational Chemistry
  • Pharmacology

Background:

  • Cancer remains a leading global cause of death, necessitating novel therapeutic strategies.
  • Tubulin, a key cytoskeletal protein, is a validated target for anti-cancer drug development.
  • 1,3,4-oxadiazole derivatives have shown promise by disrupting microtubules and inducing cell cycle arrest.

Purpose of the Study:

  • To develop and validate 3D-QSAR and pharmacophore models for 1,3,4-oxadiazole anti-tubulin agents.
  • To virtually screen a large library of 1,3,4-oxadiazole derivatives against tubulin.
  • To identify and characterize novel hit compounds with potential anti-cancer activity.

Main Methods:

  • Field-based 3D-QSAR modeling and pharmacophore development (AAHHR_1).
  • Virtual screening of 30,212 1,3,4-oxadiazole derivatives using the validated pharmacophore model.
  • Molecular docking (XP mode) against tubulin (PDB: 1SA0), followed by MM-GBSA, ADME, molecular dynamics, and DFT analyses.

Main Results:

  • A robust 3D-QSAR model and a validated five-featured pharmacophore model (AAHHR_1) were generated.
  • Virtual screening identified 11 HITs with potent docking scores, outperforming the reference Colchicine.
  • HIT1 and HIT4 were selected as promising candidates based on docking, MM-GBSA, ADME, molecular dynamics, and DFT analyses.

Conclusions:

  • The study successfully established a lead compound of Formula I based on 1,3,4-oxadiazoles.
  • Identified HITs demonstrate significant potential as tubulin polymerization inhibitors for anti-cancer drug advancement.
  • Computational approaches provide a foundation for the rational design of novel anti-cancer agents targeting tubulin.

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