Molecular Classification of 5-Amino-2-Aroylquinolines and 4-Aroyl-6, 7, 8-Trimethoxyquinolines as Highly Potent Tubulin Polymerization Inhibitors

F. Torrens, G. Castellano
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引用次数: 6

Abstract

Algorithms for classification and taxonomy are proposed based on criteria as information entropy and its production. It is classified a series of 5-amino-2-aroylquinolines AAQs and 4-aroyl-6,7,8-trimethoxyquinolines TMQs combretastatin analogues for anti-cancer activity. 5-Amino-6-methoxy-2-aroylquinoline AAQ showed anti-proliferative activity more potent as compared to combretastatin A-4 CA4, against various human cancer cell lines and a multidrug resistance MDR cancer cell line. On the basis of AAQ/TMQ structure-activity relationship new derivatives are designed. The AAQs/TMQs are classified using nine characteristic chemical properties in molecules. Many classification algorithms are based on information entropy. When applying the procedures to sets of moderate size, an excessive number of results appear compatible with data and suffer a combinatorial explosion. However, after equipartition conjecture, one has a selection criterion between different variants resulting from classification between hierarchical trees. A classification of anti-cancer agents is obtained. The features denote positions R2-8 on the quinoline bicycle.
5-氨基-2-芳基喹啉和4-芳基- 6,7,8 -三甲氧基喹啉作为高效微管蛋白聚合抑制剂的分子分类
提出了基于信息熵及其产生准则的分类和分类算法。它被归类为一系列具有抗癌活性的5-氨基-2-芳基喹啉类aaq和4-芳基-6,7,8-三甲氧基喹啉类tmq。与combretastatin a -4 CA4相比,5-氨基-6-甲氧基-2-芳基喹啉AAQ对多种人类癌细胞系和耐多药耐药癌细胞系表现出更强的抗增殖活性。在AAQ/TMQ构效关系的基础上,设计了新的衍生物。aaq / tmq是根据分子的九种特征化学性质来分类的。许多分类算法都是基于信息熵的。当将程序应用于中等大小的集合时,过多的结果似乎与数据兼容,并遭受组合爆炸。然而,经过等分猜想后,在层次树之间的分类产生的不同变体之间有了选择标准。得到了抗癌药物的分类。这些特征表示喹啉环上R2-8的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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