Molecular modeling approaches to study the binding mode on tubulin of microtubule destabilizing and stabilizing

Maurizio Botta1, Stefano Forli, Matteo Magnani

  • 1Dipartimento Farmaco Chimico Tecnologico, Università degli Studi di Siena, I-53100 Siena, Italy, Via Alcide de Gasperi, 2, *botta@unisi.it.

Insights

Molecular modeling aids in understanding anticancer drugs that target tubulin. This review details how computational approaches elucidate interactions with microtubule binding sites, crucial for drug development.

Area of Science:

  • Medicinal Chemistry
  • Computational Biology
  • Pharmacology

Background:

  • Tubulin-targeting agents are vital anticancer drugs that disrupt microtubule dynamics.
  • These agents act as either microtubule stabilizers or destabilizers, leading to mitotic arrest and apoptosis.
  • Three distinct tubulin binding sites (taxoid, colchicine, and vinca alkaloid) are known for antimitotic compounds.

Purpose of the Study:

  • To review molecular modeling studies on tubulin-targeting anticancer agents.
  • To elucidate the binding modes and molecular features responsible for drug efficacy.
  • To highlight the role of structural determinants and binding pocket interactions in antitumor activity.

Main Methods:

  • Review of ligand-based and structure-based molecular modeling approaches.
  • Analysis of studies focusing on microtubule destabilizing agents (colchicine and vinca alkaloid binding sites).
  • Examination of studies on microtubule-stabilizing antimitotic agents (MSAA), including paclitaxel and related natural compounds.
  • Inclusion of quantitative structure-activity relationship (QSAR) analyses and pharmacophoric hypotheses.

Main Results:

  • Molecular modeling provides insights into the binding interactions of various antitubulin agents.
  • Studies reveal key structural features and interactions within tubulin binding pockets essential for anticancer activity.
  • Different modeling approaches have successfully elucidated mechanisms for both stabilizing and destabilizing agents.

Conclusions:

  • Molecular modeling is a powerful tool for understanding the mechanism of action of tubulin-targeting anticancer drugs.
  • Elucidating interactions at specific binding sites aids in the rational design of novel and effective anticancer therapies.
  • This review consolidates current knowledge on computational strategies applied to antitubulin agent discovery.

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