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Updated: May 12, 2026

Optimizing Tubulin Yield from Porcine Brain Tissue
Published on: October 11, 2024
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.
Abstract:
Tubulin targeting agents constitute an important class of anticancer drugs. By acting either as microtubule stabilizers or destabilizers, they disrupt microtubule dynamics, thus inducing mitotic arrest and, ultimately, cell death by apoptosis. Three different binding sites, whose exact location on tubulin has been experimentally detected, have been identified so far for antimitotic compound targeting microtubules, namely the taxoid, the colchicine and the vinka alkaloid binding site. A number of ligand- and structure-based molecular modeling studies in this field has been reported over the years, aimed at elucidating the binding modes of both stabilizing and destabilizing agent, as well as the molecular features responsible for their efficacious interaction with tubulin. Such studies are described in this review, focusing on information provided by different modeling approaches on the structural determinants of antitubulin agents and the interactions with the binding pockets on tubulin emerged as fundamental for antitumor activity.To describe molecular modeling approaches applied to date to molecules known to bind microtubules, this paper has been divided into two main parts: microtubule destabilizing (Part 1) and stabilizing (Part 2) agents. The first part includes structure-based and ligand-based approaches to study molecules targeting colchicine (1.1) and vinca alkaloid (1.2) binding sites, respectively. In the second part, the studies performed on microtubule-stabilizing antimitotic agents (MSAA) are described. Starting from the first representative compound of this class, paclitaxel, molecular modeling studies (quantitative structure-activity relationships - QSAR - and structure-based approaches), performed on natural compounds acting with the same mechanism of action and temptative common pharmacophoric hypotheses for all of these compounds, are reported.
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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