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使用比较结合能分析(COMBINE)探索β-分泌酶1(BACE-1)抑制剂的结合情况。

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

作者信息

Liu Shu, Fu Rao, Cheng Xiao, Chen Sheng-Ping, Zhou Li-Hua

机构信息

Guangdong Province Key Laboratory of Functional Molecules in Oceanic Microorganism, Zhong Shan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, People’s Republic of China.

出版信息

BMC Struct Biol. 2012 Aug 27;12:21. doi: 10.1186/1472-6807-12-21.

DOI:10.1186/1472-6807-12-21
PMID:22925713
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3533579/
Abstract

BACKGROUND

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

背景

抑制β-分泌酶(BACE-1)的活性是治疗阿尔茨海默病的一种潜在重要方法。为了探究抑制机制,我们描述了如何利用46个X射线晶体学BACE-1/抑制剂复合物来推导定量构效关系(QSAR)模型。通过叠加46个X射线晶体学BACE-1/抑制剂复合物来对齐抑制剂,并使用gCOMBINE软件对这46个最小化的BACE-1/抑制剂复合物进行比较结合能(COMBINE)分析。COMBINE分析的主要优点在于它能够定量提取参与配体结合的关键残基,并确定配体与受体之间相互作用的性质。

结果

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,开发了两个预测性强且稳健的COMBINE模型:(i)3-PC距离依赖性介电常数模型(基于单个X射线晶体结构构建),q2值为0.74,SDEC值为0.521;(ii)5-PC S形静电模型(基于布鲁克海文蛋白质数据库中存在的实际复合物构建),q2值为0.79,SDEC值为0.41。

结论

这些QSAR模型以及描述抑制作用的信息,通过优化配体与BACE-1关键残基之间的相互作用,为新型抑制剂的设计提供了有用的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/f70c20456429/1472-6807-12-21-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/64cf9cb8466c/1472-6807-12-21-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/bd5cf37d0570/1472-6807-12-21-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/5cfc9db42454/1472-6807-12-21-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/97e8e2375b5e/1472-6807-12-21-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/7a3d26f43643/1472-6807-12-21-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/5c64a65d05ac/1472-6807-12-21-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/f70c20456429/1472-6807-12-21-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/64cf9cb8466c/1472-6807-12-21-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/bd5cf37d0570/1472-6807-12-21-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/5cfc9db42454/1472-6807-12-21-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/97e8e2375b5e/1472-6807-12-21-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/7a3d26f43643/1472-6807-12-21-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/5c64a65d05ac/1472-6807-12-21-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc6/3533579/f70c20456429/1472-6807-12-21-7.jpg

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