A Novel Inhibitor of DKK1/LRP6 Interactions Against the Alzheimer Disease: An Insilco Approach.

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS
Manisha Prajapat, Harvinder Singh, Gajendra Chaudhary, Phulen Sarma, Gurjeet Kaur, Ajay Prakash Patel, Bikash Medhi
{"title":"A Novel Inhibitor of DKK1/LRP6 Interactions Against the Alzheimer Disease: An Insilco Approach.","authors":"Manisha Prajapat,&nbsp;Harvinder Singh,&nbsp;Gajendra Chaudhary,&nbsp;Phulen Sarma,&nbsp;Gurjeet Kaur,&nbsp;Ajay Prakash Patel,&nbsp;Bikash Medhi","doi":"10.1177/11779322231183762","DOIUrl":null,"url":null,"abstract":"<p><p>The activation of the Wnt signaling pathway is implicated in a neuroprotective mechanism against the Alzheimer disease. When this pathway is blocked, it activates GSK3 beta, leading to tau hyperphosphorylation and the apoptosis of neurons. Dickkopf-related protein 1 (DKK1) is a protein that competes with the Wnt ligand for the low-density lipoprotein receptor-related protein 6 (LRP6) receptor's binding, interrupting the Wnt-induced Fzd-Wnt-LRP6 complex. This counteracts Wnt's neuroprotective effect and contributes to the progression of the Alzheimer disease. The aim of this study was to use in silico approach to develop new agents that can combat the Alzheimer disease by targeting the interaction between DKK1 and LRP6. To achieve this, we conducted a virtual screening (Vsw) of the Asinex-CNS database library (n = 54 513) compounds against a generated grid in LRP6 protein. From this screening, we selected 6 compounds based on their docking score and performed molecular mechanics-generalized Born surface area (MM-GBSA) binding energy calculations on the selected ligands. Next, we evaluated the Absorption, Distribution, Metabolism, and Excretion (ADME) results of the 6 screened compounds using the Quick prop module of Schrödinger. We then employed several computational techniques, including PCA (Principal Component Analysis), DCCM (Dynamic Cross-Correlation Map), molecular dynamics simulation, and molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA)-based negative binding free energy (BFE) calculation, to further analyze the compounds. Our extensive computational analysis resulted in the identification of 3 potential hits, LAS 29757582, LAS 29984441, and LAS 29757942. These compounds were found to block the interaction of DKK1 with LRP6 (A and B interface) protein, and their potential as therapeutic agents was supported by negative BFE calculation. Therefore, these compounds show potential as possible therapeutic agents for treating the Alzheimer disease through targeting the interaction between DKK1 and LRP6.</p>","PeriodicalId":9065,"journal":{"name":"Bioinformatics and Biology Insights","volume":"17 ","pages":"11779322231183762"},"PeriodicalIF":2.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b4/e3/10.1177_11779322231183762.PMC10328054.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics and Biology Insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11779322231183762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 1

Abstract

The activation of the Wnt signaling pathway is implicated in a neuroprotective mechanism against the Alzheimer disease. When this pathway is blocked, it activates GSK3 beta, leading to tau hyperphosphorylation and the apoptosis of neurons. Dickkopf-related protein 1 (DKK1) is a protein that competes with the Wnt ligand for the low-density lipoprotein receptor-related protein 6 (LRP6) receptor's binding, interrupting the Wnt-induced Fzd-Wnt-LRP6 complex. This counteracts Wnt's neuroprotective effect and contributes to the progression of the Alzheimer disease. The aim of this study was to use in silico approach to develop new agents that can combat the Alzheimer disease by targeting the interaction between DKK1 and LRP6. To achieve this, we conducted a virtual screening (Vsw) of the Asinex-CNS database library (n = 54 513) compounds against a generated grid in LRP6 protein. From this screening, we selected 6 compounds based on their docking score and performed molecular mechanics-generalized Born surface area (MM-GBSA) binding energy calculations on the selected ligands. Next, we evaluated the Absorption, Distribution, Metabolism, and Excretion (ADME) results of the 6 screened compounds using the Quick prop module of Schrödinger. We then employed several computational techniques, including PCA (Principal Component Analysis), DCCM (Dynamic Cross-Correlation Map), molecular dynamics simulation, and molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA)-based negative binding free energy (BFE) calculation, to further analyze the compounds. Our extensive computational analysis resulted in the identification of 3 potential hits, LAS 29757582, LAS 29984441, and LAS 29757942. These compounds were found to block the interaction of DKK1 with LRP6 (A and B interface) protein, and their potential as therapeutic agents was supported by negative BFE calculation. Therefore, these compounds show potential as possible therapeutic agents for treating the Alzheimer disease through targeting the interaction between DKK1 and LRP6.

Abstract Image

Abstract Image

Abstract Image

一种新的DKK1/LRP6相互作用抑制剂对抗阿尔茨海默病:Insilco方法。
Wnt信号通路的激活与阿尔茨海默病的神经保护机制有关。当该通路被阻断时,它激活GSK3 β,导致tau过度磷酸化和神经元凋亡。dickkopf相关蛋白1 (DKK1)是一种与Wnt配体竞争低密度脂蛋白受体相关蛋白6 (LRP6)受体结合的蛋白,可阻断Wnt诱导的Fzd-Wnt-LRP6复合物。这抵消了Wnt的神经保护作用,并有助于阿尔茨海默病的进展。本研究的目的是利用计算机方法开发新的药物,通过靶向DKK1和LRP6之间的相互作用来对抗阿尔茨海默病。为此,我们针对生成的LRP6蛋白网格对asindex - cns数据库库(n = 54 513)化合物进行了虚拟筛选(Vsw)。从这些筛选中,我们根据对接得分选择了6个化合物,并对所选配体进行了分子力学-广义Born表面积(MM-GBSA)结合能计算。接下来,我们使用Schrödinger的Quick prop模块评估6个筛选化合物的吸收、分布、代谢和排泄(ADME)结果。利用主成分分析(PCA)、动态相互关系图(DCCM)、分子动力学模拟和基于分子力学/泊松-波尔兹曼表面积(MM/PBSA)的负结合自由能(BFE)计算等计算技术对化合物进行进一步分析。通过广泛的计算分析,我们确定了3个潜在的攻击点,分别是LAS 29757582、LAS 29984441和LAS 29757942。这些化合物被发现阻断DKK1与LRP6 (A和B界面)蛋白的相互作用,负BFE计算支持它们作为治疗药物的潜力。因此,这些化合物通过靶向DKK1和LRP6之间的相互作用,显示出潜在的治疗阿尔茨海默病的药物潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信