Hillebrecht Alexander, Supuran Claudiu T, Klebe Gerhard
Institut für Pharmazeutische Chemie, Philipps-Universität Marburg, Marbacher Weg 6, 35032 Marburg, Germany.
ChemMedChem. 2006 Aug;1(8):839-53. doi: 10.1002/cmdc.200600083.
The application and comparison of selected protein- and ligand-based approaches to elucidate factors important for affinity and selectivity towards the carbonic anhydrase isozymes I, II, and IV are described. Carbonic anhydrases are abundant in pro- and eukaryotes. These enzymes catalyze the reversible hydration of carbon dioxide to bicarbonate and H(+) ions and are thus involved in many important physiological and pathophysiological processes. Due to the fact that the human carbonic anhydrase family consists of 16 closely related isozymes, the design of selective inhibitors is a special challenge for medicinal chemists. In order to extract selectivity-determining features, we applied purely ligand-based 3D QSAR techniques as well as qualitative comparative molecular field analyses of the targets' binding sites using consensus principal component analysis (CPCA). The dataset for the QSAR studies was deliberately compiled from 1,748 inhibitors and comprises about 140 ligands, mainly of the sulfonamide type. Additionally, we employed the novel AFMoC approach, which intrinsically combines protein and ligand information. The simultaneous use of these different techniques gives deeper insight into selectivity and affinity-determining features and provides quantitative models for prediction.
本文描述了选定的基于蛋白质和配体的方法在阐明对碳酸酐酶同工酶I、II和IV的亲和力和选择性重要因素方面的应用及比较。碳酸酐酶在原核生物和真核生物中都很丰富。这些酶催化二氧化碳可逆水合生成碳酸氢根和氢离子,因此参与许多重要的生理和病理生理过程。由于人类碳酸酐酶家族由16种密切相关的同工酶组成,设计选择性抑制剂对药物化学家来说是一项特殊挑战。为了提取决定选择性的特征,我们应用了纯基于配体的3D QSAR技术以及使用共识主成分分析(CPCA)对靶点结合位点进行定性比较分子场分析。QSAR研究的数据集特意从1748种抑制剂中收集,包含约140种配体,主要是磺酰胺类型。此外,我们采用了新颖的AFMoC方法,该方法内在地结合了蛋白质和配体信息。同时使用这些不同技术能更深入了解决定选择性和亲和力的特征,并提供预测的定量模型。