Suppr超能文献

用C2修饰的10-脱乙酰基-7-丙酰基头孢甘露霉素克服肿瘤耐药性:一项定量构效关系研究。

Overcoming tumor drug resistance with C2-modified 10-deacetyl-7-propionyl cephalomannines: a QSAR study.

作者信息

Hansch Corwin, Verma Rajeshwar P

机构信息

Department of Chemistry, Pomona College, Claremont, CA 91711, USA.

出版信息

Mol Pharm. 2009 May-Jun;6(3):849-60. doi: 10.1021/mp800138w.

Abstract

The microtubule-stabilizing taxanes such as paclitaxel and docetaxel are the two most important anticancer drugs currently used in clinics for the treatment of various types of cancers. However, the major common drawbacks of these two drugs are drug resistance, neurotoxicity, substrate for drug transporter P-gp, cross-resistance with other chemotherapeutic agents, low oral bioavailability, and no penetration in the blood-brain barrier (BBB). These limitations have led to the search for new taxane derivatives with improved biological activity. In the present paper, we discuss the quantitative structure-activity relationship (QSAR) studies on a series of C2-modified 10-deacetyl-7-propionyl cephalomannines (IV) with respect to their binding affinities toward beta-tubulin and cytotoxic activities against both drug-sensitive and drug-resistant tumor cells, in which resistance is mediated through either P-gp overexpression or beta-tubulin mutation mechanisms, by the formulation of five QSARs. Hydrophobicity and molar refractivity of the substituents (pi(X) and MR(X)) are found to be the most important determinants for the activity. Parabolic correlations in terms of MR(X) (eqs 2 and 4 ) are encouraging examples in which the optimum values of MR(X) are well-defined. We believe that these two QSAR models may prove to be adequate predictive models that can help to provide guidance in design and synthesis, and subsequently yield very specific cephalomannine derivatives (IV) that may have high biological activities. On the basis of these two QSAR models, 10 cephalomannine analogues (IV-21 to IV-30) are suggested as potential synthetic targets. Internal (cross-validation (q(2)), quality factor (Q), Fischer statistics (F), and Y-randomization) and external validation tests have validated all the QSAR models.

摘要

微管稳定紫杉烷类药物,如紫杉醇和多西他赛,是目前临床上用于治疗各种癌症的两种最重要的抗癌药物。然而,这两种药物的主要共同缺点是耐药性、神经毒性、是药物转运蛋白P-糖蛋白的底物、与其他化疗药物存在交叉耐药性、口服生物利用度低以及无法穿透血脑屏障(BBB)。这些局限性促使人们寻找具有改善生物活性的新型紫杉烷衍生物。在本文中,我们讨论了一系列C2修饰的10-去乙酰基-7-丙酰基头霉素(IV)关于其对β-微管蛋白的结合亲和力以及对药物敏感和耐药肿瘤细胞的细胞毒性活性的定量构效关系(QSAR)研究,其中耐药性是通过P-糖蛋白过表达或β-微管蛋白突变机制介导的,通过构建五个QSAR来进行研究。发现取代基的疏水性和摩尔折射率(π(X)和MR(X))是活性的最重要决定因素。就MR(X)而言的抛物线相关性(方程2和4)是令人鼓舞的例子,其中MR(X)的最佳值定义明确。我们相信这两个QSAR模型可能被证明是足够的预测模型,有助于在设计和合成中提供指导,并随后产生可能具有高生物活性的非常特异的头霉素衍生物(IV)。基于这两个QSAR模型,建议10种头霉素类似物(IV-(21)至IV-(30))作为潜在的合成靶点。内部(交叉验证(q(2))、质量因子(Q)、费舍尔统计量(F)和Y-随机化)和外部验证测试已验证了所有QSAR模型。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验