Centre for Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), Sector 67, S.A.S. Nagar, Mohali, Punjab, 160 062, India.
Mol Divers. 2010 Feb;14(1):39-49. doi: 10.1007/s11030-009-9139-7. Epub 2009 Mar 28.
Three-dimensional quantitative structure-activity relationship (3D-QSAR) models were developed based on comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA), on a series of 43 hydroxyethylamine derivatives, acting as potent inhibitors of beta-site amyloid precursor protein (APP) cleavage enzyme (BACE-1). The crystal structure of the BACE-1 enzyme (PDB ID: 2HM1) with one of the most active compound 28 was available, and we assumed it to be the bioactive conformation of the studied series, for 3D-QSAR analysis. Statistically significant 3D-QSAR model was established on a training set of 34 compounds, which were validated by a test set of 9 compounds. For the best CoMFA model, the statistics are, r2 = 0.998, r2 cv =0.810, n = 34 for the training set and r2 pred = 0.934, n = 9 for the test set. For the best CoMSIA model (combined steric, electrostatic, hydrophobic, and hydrogen bond donor fields), the statistics are r2 = 0.978, r2 cv = 0.754, n = 34 for the training set and r2 pred = 0.750, n = 9 for the test set. The resulting contour maps, produced by the best CoMFA and CoMSIA models, were used to identify the structural features relevant to the biological activity in this series of analogs. The data generated from the present study will further help to design novel, potent, and selective BACE-1 inhibitors.
建立了一系列 43 种羟乙胺衍生物作为β-位点淀粉样前体蛋白裂解酶(BACE-1)有效抑制剂的三维定量构效关系(3D-QSAR)模型,基于比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)。BACE-1 酶(PDB ID:2HM1)的晶体结构与最活跃的化合物 28 之一可用,我们假设它是研究系列的生物活性构象,用于 3D-QSAR 分析。在一个包含 34 种化合物的训练集上建立了一个统计学上显著的 3D-QSAR 模型,该模型通过 9 种化合物的测试集进行验证。对于最佳的 CoMFA 模型,统计数据为 r2 = 0.998,r2 cv = 0.810,n = 34 用于训练集,r2 pred = 0.934,n = 9 用于测试集。对于最佳的 CoMSIA 模型(结合立体、静电、疏水和氢键供体场),统计数据为 r2 = 0.978,r2 cv = 0.754,n = 34 用于训练集,r2 pred = 0.750,n = 9 用于测试集。由最佳 CoMFA 和 CoMSIA 模型产生的轮廓图用于确定该系列类似物中与生物活性相关的结构特征。本研究产生的数据将进一步有助于设计新型、有效和选择性的 BACE-1 抑制剂。