Exploring the binding of BACE-1 inhibitors using comparative binding energy analysis (COMBINE)

IF 2.222 Q3 Biochemistry, Genetics and Molecular Biology
Shu Liu, Rao Fu, Xiao Cheng, Sheng-Ping Chen, Li-Hua Zhou
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引用次数: 25

Abstract

The inhibition of the activity of β-secretase (BACE-1) is a potentially important approach for the treatment of Alzheimer disease. To explore the mechanism of inhibition, we describe the use of 46 X-ray crystallographic BACE-1/inhibitor complexes to derive quantitative structure-activity relationship (QSAR) models. The inhibitors were aligned by superimposing 46 X-ray crystallographic BACE-1/inhibitor complexes, and gCOMBINE software was used to perform COMparative BINding Energy (COMBINE) analysis on these 46 minimized BACE-1/inhibitor complexes. The major advantage of the COMBINE analysis is that it can quantitatively extract key residues involved in binding the ligand and identify the nature of the interactions between the ligand and receptor.

By considering the contributions of the protein residues to the electrostatic and van der Waals intermolecular interaction energies, two predictive and robust COMBINE models were developed: (i) the 3-PC distance-dependent dielectric constant model (built from a single X-ray crystal structure) with a q2 value of 0.74 and an SDEC value of 0.521; and (ii) the 5-PC sigmoidal electrostatic model (built from the actual complexes present in the Brookhaven Protein Data Bank) with a q2 value of 0.79 and an SDEC value of 0.41.

These QSAR models and the information describing the inhibition provide useful insights into the design of novel inhibitors via the optimization of the interactions between ligands and those key residues of BACE-1.

Abstract Image

利用比较结合能分析(COMBINE)探索BACE-1抑制剂的结合
抑制β-分泌酶(BACE-1)的活性是治疗阿尔茨海默病的一个潜在的重要途径。为了探索抑制机制,我们描述了使用46个x射线晶体学BACE-1/抑制剂配合物来推导定量构效关系(QSAR)模型。通过叠加46个BACE-1/抑制剂配合物对抑制剂进行排列,并使用gCOMBINE软件对这46个最小化的BACE-1/抑制剂配合物进行比较结合能(COMBINE)分析。COMBINE分析的主要优点是可以定量提取与配体结合有关的关键残基,并确定配体与受体之间相互作用的性质。通过考虑蛋白质残基对静电和范德华分子间相互作用能的贡献,建立了两个预测和稳健的COMBINE模型:(i) 3-PC距离相关介电常数模型(基于单个x射线晶体结构),q2值为0.74,SDEC值为0.521;(ii) 5-PC s型静电模型(基于布鲁克海文蛋白质数据库中存在的实际配合物),q2值为0.79,SDEC值为0.41。这些QSAR模型和描述抑制作用的信息为通过优化配体与BACE-1关键残基之间的相互作用来设计新型抑制剂提供了有用的见解。
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来源期刊
BMC Structural Biology
BMC Structural Biology 生物-生物物理
CiteScore
3.60
自引率
0.00%
发文量
0
期刊介绍: BMC Structural Biology is an open access, peer-reviewed journal that considers articles on investigations into the structure of biological macromolecules, including solving structures, structural and functional analyses, and computational modeling.
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