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使用比较分子场分析(CoMFA)/比较分子相似性指数分析(CoMSIA)对CK2抑制剂进行药效团识别与验证研究。

Pharmacophore identification and validation study of CK2 inhibitors using CoMFA/CoMSIA.

作者信息

Morshed Mohammad Neaz, Muddassar Muhammad, Pasha Farhan Ahmad, Cho Seung Joo

机构信息

Korea Institute of Science and Technology, Seoul, South Korea.

出版信息

Chem Biol Drug Des. 2009 Aug;74(2):148-58. doi: 10.1111/j.1747-0285.2009.00841.x. Epub 2009 Jun 26.

Abstract

Protein kinase CK2, also known as casein kinase-2, has been found to be involved in cell growth, proliferation and suppression of apoptosis, which is related to human cancers. The series of compounds were identified as casein kinase-2 inhibitors and their inhibitory activities are a function of a variation of their structures. The current study deals with the pharmacophore identification and, accordingly, the three-dimensional quantitative structure-activity relationship model development using Pharmacophore Alignment and Scoring Engine. Several hypotheses were developed for the molecular alignments. On the basis of statistical values, the best-fitted model was identified and the same alignment was used for 3D-QSAR using comparative molecular field analysis/comparative molecular similarity index analysis. Both the CoMFA (R(2)(CV) = 0.58, R(2) = 0.82 and r(2)(pred) = 0.62) and the comparative molecular similarity index analysis (R(2)(CV) = 0.74, R(2) = 0.98 and r(2)(pred) = 0.81) gave reasonable results. Besides pharmacophore-based alignment, the maximum common substructure-based alignment was also used for the comparative molecular field analysis and comparative molecular similarity index analysis. The pharmacophore-based alignment was more prominent and it has provided important information for the modelling of potent inhibitors. The overall study implies that a highly positive and bulky group with H-bond donating property is desirable around the nitrogen atom adjacent to the pyrrolidine ring.

摘要

蛋白激酶CK2,也被称为酪蛋白激酶2,已被发现参与细胞生长、增殖以及凋亡抑制,这与人类癌症相关。该系列化合物被鉴定为酪蛋白激酶2抑制剂,其抑制活性是其结构变化的函数。当前研究涉及药效团识别,并因此使用药效团比对和评分引擎开发三维定量构效关系模型。针对分子比对提出了几种假设。基于统计值,确定了最佳拟合模型,并将相同的比对用于使用比较分子场分析/比较分子相似性指数分析的三维定量构效关系研究。比较分子场分析(交叉验证相关系数R²(CV) = 0.58,相关系数R² = 0.82,预测相关系数r²(pred) = 0.62)和比较分子相似性指数分析(交叉验证相关系数R²(CV) = 0.74,相关系数R² = 0.98,预测相关系数r²(pred) = 0.81)均给出了合理结果。除了基于药效团的比对,基于最大共同子结构的比对也用于比较分子场分析和比较分子相似性指数分析。基于药效团的比对更为突出,它为强效抑制剂的建模提供了重要信息。总体研究表明,在与吡咯烷环相邻的氮原子周围,具有氢键供体性质的高度正性且庞大的基团是理想的。

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