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第二代秋水仙碱衍生物的计算机辅助设计。

Computer assisted design of second-generation colchicine derivatives.

机构信息

Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.

出版信息

Interdiscip Sci. 2010 Jun;2(2):169-74. doi: 10.1007/s12539-010-0076-z. Epub 2010 May 1.

Abstract

Cytoskeletal proteins, such as tubulin, are a primary target for many successful anti-cancer drugs. The expression of several beta-tubulin isotypes in normal and cancerous cells provides a platform upon which to construct chemotherapeutic agents capable of differentiating between them. To test this hypothesis, we have previously designed several colchicine derivatives and computationally probed them for affinity to the beta-tubulin isotypes. Subsequent synthesis and cytotoxicity assays produced a small set of promising compounds exhibiting IC(50) values approximately 30 fold lower than values previously reported for colchicine. Here we describe the creation and testing of these first-generation colchicine derivatives and discuss the subsequent design and preliminary computational screening of a novel set of second-generation derivatives using the most promising first-generation derivatives as scaffolds.

摘要

细胞骨架蛋白,如微管蛋白,是许多成功的抗癌药物的主要靶点。在正常和癌细胞中几种β-微管蛋白同工型的表达为构建能够区分它们的化疗药物提供了一个平台。为了验证这一假说,我们之前设计了几种秋水仙碱衍生物,并对它们与β-微管蛋白同工型的亲和力进行了计算探测。随后的合成和细胞毒性测定产生了一小部分有前途的化合物,其 IC50 值比以前报道的秋水仙碱低约 30 倍。在这里,我们描述了第一代秋水仙碱衍生物的创建和测试,并讨论了使用最有前途的第一代衍生物作为支架的新一代衍生物的后续设计和初步计算筛选。

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