系统定量方法在新型人碳酸酐酶 IX 抑制剂的合理药物设计与发现中的应用。

A systematic quantitative approach to rational drug design and discovery of novel human carbonic anhydrase IX inhibitors.

机构信息

Department of Pharmaceutical Sciences, Birla Institute of Technology , Mesra, Ranchi, Jharkhand , India.

出版信息

J Enzyme Inhib Med Chem. 2014 Aug;29(4):571-81. doi: 10.3109/14756366.2013.827677. Epub 2013 Oct 3.

Abstract

Drug design involves the design of small molecules that are complementary in shape and charge to the biomolecular target with which they interact and therefore will bind to it. Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies were performed for a series of carbonic anhydrase IX inhibitors using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) techniques with the help of SYBYL 7.1 software. The large set of 36 different aromatic/heterocyclic sulfamates carbonic anhydrase (CA, EC 4.2.1.1) inhibitors, such as hCA IX, was chosen for this study. The conventional ligand-based 3D-QSAR studies were performed based on the low energy conformations employing database alignment rule. The ligand-based model gave q(2) values 0.802 and 0.829 and r(2) values 1.000 and 0.994 for CoMFA and CoMSIA, respectively, and the predictive ability of the model was validated. The predicted r(2) values are 0.999 and 0.502 for CoMFA and CoMSIA, respectively. SEA (steric, electrostatic, hydrogen bond acceptor) of CoMSIA has the significant contribution for the model development. The docking of inhibitors into hCA IX active site using Glide XP (Schrödinger) software revealed the vital interactions and binding conformation of the inhibitors. The CoMFA and CoMSIA field contour maps are well in agreement with the structural characteristics of the binding pocket of hCA IX active site, which suggests that the information rendered by 3D-QSAR models and the docking interactions can provide guidelines for the development of improved hCA IX inhibitors as leads for various types of metastatic cancers including those of cervical, renal, breast and head and neck origin.

摘要

药物设计涉及设计小分子,这些小分子在形状和电荷上与它们相互作用的生物分子靶标互补,因此将与之结合。使用 SYBYL 7.1 软件,借助比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)技术,对一系列碳酸酐酶 IX 抑制剂进行了三维定量构效关系(3D-QSAR)研究。选择了大量的 36 种不同的芳族/杂环磺酰胺碳酸酐酶(CA,EC 4.2.1.1)抑制剂,如 hCA IX,用于本研究。传统的基于配体的 3D-QSAR 研究是基于使用数据库对齐规则的低能量构象进行的。基于配体的模型分别给出了 CoMFA 和 CoMSIA 的 q(2) 值为 0.802 和 0.829,r(2) 值为 1.000 和 0.994,并且验证了模型的预测能力。CoMFA 和 CoMSIA 的预测 r(2) 值分别为 0.999 和 0.502。CoMSIA 的 SEA(立体、静电、氢键接受体)对模型开发有重要贡献。使用 Glide XP(Schrödinger)软件将抑制剂对接进入 hCA IX 活性部位,揭示了抑制剂的重要相互作用和结合构象。CoMFA 和 CoMSIA 场等高线图与 hCA IX 活性部位结合口袋的结构特征非常吻合,这表明 3D-QSAR 模型和对接相互作用提供的信息可以为开发改进的 hCA IX 抑制剂作为各种类型转移性癌症(包括宫颈、肾、乳腺和头颈部来源的癌症)的先导提供指导。

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