Dipartimento di Scienze Chimiche, Alimentari, Farmaceutiche e Farmacologiche, Università degli Studi del Piemonte Orientale A. Avogadro, Novara, Italy.
ChemMedChem. 2012 Jan 2;7(1):33-42. doi: 10.1002/cmdc.201100361. Epub 2011 Oct 12.
Computational approaches have been increasingly applied to drug design over the past three decades and have already provided some useful results in the discovery of anticancer drugs. Given the increased availability of crystal structures in recent years, a growing number of molecular modeling studies on tubulin have been reported. Herein we present a brief overview of the role played by computational methods in anti-tubulin research, specifically in the context of colchicine binding agent research. An overview of current structures is reported, along with a brief discussion on the issues associated with the various tubulin isotypes. Finally, a summary of the most recent and relevant results is presented, highlighting the challenges and opportunities faced by researchers in this field.
在过去的三十年中,计算方法已越来越多地应用于药物设计,并在抗癌药物的发现中已经取得了一些有用的成果。鉴于近年来晶体结构的可用性增加,已有越来越多关于微管蛋白的分子建模研究报告。本文简要概述了计算方法在抗微管蛋白研究中的作用,特别是在秋水仙碱结合剂研究方面。本文报道了当前结构的概述,并简要讨论了与各种微管蛋白同工型相关的问题。最后,总结了最近和相关的结果,强调了该领域研究人员所面临的挑战和机遇。