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理解微管蛋白/微管-紫杉烷相互作用:一项定量构效关系研究。

Understanding tubulin/microtubule-taxane interactions: a quantitative structure-activity relationship study.

作者信息

Hansch Corwin, Verma Rajeshwar P

机构信息

Department of Chemistry, Pomona College, 645 North College Avenue, Claremont, California 91711, USA.

出版信息

Mol Pharm. 2008 Jan-Feb;5(1):151-61. doi: 10.1021/mp700119e. Epub 2008 Jan 3.

Abstract

For years, the microtubule-stabilizing agents paclitaxel and docetaxel (progenitors of the family of taxanes) have been the most successful anticancer drugs currently used in clinics. However, both drugs are associated with notorious side effects, drug resistance, and cross resistance with other chemotherapeutic agents. These limitations have led to the search for new drugs with improved biological activity. In the present paper, we discuss the interaction of taxanes with the tubulin/microtubule system by the formulation of 6 QSARs. Hydrophobicity of the substituents (pi) is found to be one of the most important determinants of the activity followed by steric parameters. Parabolic correlations (eqs 3 and 7) with B5 and pi are the most encouraging examples, where the optimum values of these parameters are well defined. We believe that these two QSARs may prove to be adequate predictive models that can help to provide guidance in design/synthesis and subsequently yield very specific compounds (IV and VIII) that may have high biological activities. On the basis of these two QSARs 3 and 7, 18 compounds (IV-12- IV-22 and VIII-16- VIII-22) are suggested as potential synthetic targets. Cross-validation, quality factor (Q), Fischer statistics (F), and Y-randomization tests have validated all the QSAR models.

摘要

多年来,微管稳定剂紫杉醇和多西他赛(紫杉烷家族的前身)一直是目前临床上使用最成功的抗癌药物。然而,这两种药物都伴有众所周知的副作用、耐药性以及与其他化疗药物的交叉耐药性。这些局限性促使人们寻找具有更好生物活性的新药。在本文中,我们通过构建6个定量构效关系(QSAR)来探讨紫杉烷与微管蛋白/微管系统的相互作用。发现取代基的疏水性(π)是活性的最重要决定因素之一,其次是空间参数。与B5和π的抛物线相关性(方程3和7)是最令人鼓舞的例子,其中这些参数的最佳值定义明确。我们相信这两个QSAR可能会被证明是足够的预测模型,有助于在设计/合成中提供指导,并随后产生可能具有高生物活性的非常特定的化合物(IV和VIII)。基于这两个QSAR 3和7,建议18种化合物(IV-12-IV-22和VIII-16-VIII-22)作为潜在的合成靶点。交叉验证、质量因子(Q)、费舍尔统计量(F)和Y随机化检验已验证了所有QSAR模型。

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