National Institute of Pharmaceutical Education and Research (NIPER), Department of Pharmacoinformatics, S.A.S. Nagar (Mohali), Punjab-160062, India.
Expert Opin Drug Discov. 2012 Sep;7(9):771-89. doi: 10.1517/17460441.2012.698260. Epub 2012 Jun 21.
Target-specific drugs may offer fewer side/adverse effects in comparison with other anticancer agents and thus save normal healthy cells to a greater extent. The selective overexpression of cytochrome P450 1A1 (CYP1A1) in tumor cells induces the metabolism of benzothiazole and aminoflavone compounds to their reactive species, which are responsible for DNA adduct formation and cell death. This review encompasses the novelty of CYP1A1 as an anticancer drug target and explores the possible in silico strategies that would be applicable in the discovery and development of future antitumor compounds.
This review highlights the various ligand-based and target-based in silico methodologies that were efficiently used in exploration of CYP1A1 as a novel antitumor target. These methodologies include electronic structure analysis, CoMFA studies, homology modeling, molecular docking, molecular dynamics analysis, pharmacophore mapping and quantitative structure activity relationship (QSAR) studies. It also focuses on the various approaches used in the development of the lysyl amide prodrug of 5F-203 (NSC710305) and dimethanesulfonate salt of 5-aminoflavone (NSC710464) as clinical candidates from their less potent analogues.
Selective overexpression of CYP1A1 in cancer cells offers tumor-specific drug design to ameliorate the current adverse effects associated with existing antitumor agents. Medicinal chemistry and in vitro driven approaches, in combination with knowledge-based drug design and by using the currently available tools of in silico methodologies, would certainly make it possible to design and develop novel anticancer compounds targeting CYP1A1.
与其他抗癌药物相比,靶向药物的副作用可能更少,因此可以在更大程度上保护正常健康细胞。细胞色素 P450 1A1(CYP1A1)在肿瘤细胞中的选择性过表达诱导苯并噻唑和氨基黄酮类化合物代谢为其反应性物质,这些物质负责 DNA 加合物的形成和细胞死亡。本综述涵盖了 CYP1A1 作为抗癌药物靶点的新颖性,并探讨了可能适用于发现和开发未来抗肿瘤化合物的计算策略。
本综述强调了各种基于配体和基于靶标的计算方法,这些方法在探索 CYP1A1 作为新型抗肿瘤靶标方面得到了有效应用。这些方法包括电子结构分析、CoMFA 研究、同源建模、分子对接、分子动力学分析、药效团映射和定量构效关系(QSAR)研究。它还侧重于开发 5F-203(NSC710305)的赖氨酰胺前药和 5-氨基黄酮的二甲烷磺酸盐(NSC710464)作为临床候选物的各种方法,这些候选物是从其效力较低的类似物中开发而来的。
CYP1A1 在癌细胞中的选择性过表达为肿瘤特异性药物设计提供了可能,以改善与现有抗肿瘤药物相关的当前不良反应。药物化学和体外驱动方法,结合基于知识的药物设计,并利用当前可用的计算方法工具,肯定可以设计和开发针对 CYP1A1 的新型抗肿瘤化合物。