利用比较结合能分析(COMBINE)探索BACE-1抑制剂的结合

IF 2.222 Q3 Biochemistry, Genetics and Molecular Biology BMC Structural Biology Pub Date : 2012-08-27 DOI:10.1186/1472-6807-12-21
Shu Liu, Rao Fu, Xiao Cheng, Sheng-Ping Chen, Li-Hua Zhou
{"title":"利用比较结合能分析(COMBINE)探索BACE-1抑制剂的结合","authors":"Shu Liu,&nbsp;Rao Fu,&nbsp;Xiao Cheng,&nbsp;Sheng-Ping Chen,&nbsp;Li-Hua Zhou","doi":"10.1186/1472-6807-12-21","DOIUrl":null,"url":null,"abstract":"<p>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<b>.</b> 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.</p><p>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 q<sup>2</sup> 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 q<sup>2</sup> value of 0.79 and an SDEC value of 0.41.</p><p>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.</p>","PeriodicalId":498,"journal":{"name":"BMC Structural Biology","volume":"12 1","pages":""},"PeriodicalIF":2.2220,"publicationDate":"2012-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1472-6807-12-21","citationCount":"25","resultStr":"{\"title\":\"Exploring the binding of BACE-1 inhibitors using comparative binding energy analysis (COMBINE)\",\"authors\":\"Shu Liu,&nbsp;Rao Fu,&nbsp;Xiao Cheng,&nbsp;Sheng-Ping Chen,&nbsp;Li-Hua Zhou\",\"doi\":\"10.1186/1472-6807-12-21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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<b>.</b> 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.</p><p>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 q<sup>2</sup> 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 q<sup>2</sup> value of 0.79 and an SDEC value of 0.41.</p><p>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.</p>\",\"PeriodicalId\":498,\"journal\":{\"name\":\"BMC Structural Biology\",\"volume\":\"12 1\",\"pages\":\"\"},\"PeriodicalIF\":2.2220,\"publicationDate\":\"2012-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/1472-6807-12-21\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Structural Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1186/1472-6807-12-21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Structural Biology","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1186/1472-6807-12-21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 25

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Exploring the binding of BACE-1 inhibitors using comparative binding energy analysis (COMBINE)

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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.
期刊最新文献
Characterization of putative proteins encoded by variable ORFs in white spot syndrome virus genome Correction to: Classification of the human THAP protein family identifies an evolutionarily conserved coiled coil region Effect of low complexity regions within the PvMSP3α block II on the tertiary structure of the protein and implications to immune escape mechanisms QRNAS: software tool for refinement of nucleic acid structures Classification of the human THAP protein family identifies an evolutionarily conserved coiled coil region
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1