• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

新型化合物作为丁酰胆碱酯酶和糖原合成酶激酶-3β双重抑制剂用于对抗阿尔茨海默病的计算及ADMET预测

Computational and ADMET Predictions of Novel Compounds as Dual Inhibitors of BuChE and GSK-3β to Combat Alzheimer's Disease.

作者信息

Londhe Saurabh G, Walhekar Vinayak, Shenoy Mangala, Kini Suvarna G, Scotti Marcus T, Scotti Luciana, Kumar Dileep

机构信息

Department of Pharmaceutical Chemistry, BVDU's Poona College of Pharmacy, Pune 411038, India.

Department of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 576104, India.

出版信息

Pharmaceutics. 2024 Jul 26;16(8):991. doi: 10.3390/pharmaceutics16080991.

DOI:10.3390/pharmaceutics16080991
PMID:39204336
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11357659/
Abstract

BACKGROUND

Alzheimer's disease is a serious and widespread neurodegenerative illness in the modern healthcare scenario. GSK-3β and BuChE are prominent enzymatic targets associated with Alzheimer's disease. Co-targeting GSK3β and BChE in Alzheimer's disease helps to modify disease progression and enhance cognitive function by addressing both tau pathology and cholinergic deficits. However, the treatment arsenal for Alzheimer's disease is extremely inadequate, with present medications displaying dismal success in treating this never-ending ailment. To create novel dual inhibitors, we have used molecular docking and dynamics analysis. Our focus was on analogs formed from the fusion of tacrine and amantadine ureido, specifically tailored to target GSK-3β and BuChE.

METHODS

In the following study, molecular docking was executed by employing AutoDock Vina and molecular dynamics and ADMET predictions were performed using the Desmond and Qikprop modules of Schrödinger.

RESULTS

Our findings unveiled that compounds DKS1 and DKS4 exhibited extraordinary molecular interactions within the active domains of GSK-3β and BuChE, respectively. These compounds engaged in highly favorable interactions with critical amino acids, including Lys85, Val135, Asp133, and Asp200, and His438, Ser198, and Thr120, yielding encouraging docking energies of -9.6 and -12.3 kcal/mol. Additionally, through extensive molecular dynamics simulations spanning a 100 ns trajectory, we established the robust stability of ligands DKS1 and DKS4 within the active pockets of GSK-3β and AChE. Particularly noteworthy was DKS5, which exhibited an outstanding human oral absorption rate of 79.792%, transcending the absorption rates observed for other molecules in our study.

CONCLUSION

In summary, our in silico findings have illuminated the potential of our meticulously designed molecules as groundbreaking agents in the fight against Alzheimer's disease, capable of simultaneously inhibiting both GSK-3β and BuChE.

摘要

背景

在现代医疗环境中,阿尔茨海默病是一种严重且广泛流行的神经退行性疾病。糖原合成酶激酶-3β(GSK-3β)和丁酰胆碱酯酶(BuChE)是与阿尔茨海默病相关的重要酶靶点。在阿尔茨海默病中共同靶向GSK3β和BChE有助于通过解决tau病理和胆碱能缺陷来改变疾病进程并增强认知功能。然而,阿尔茨海默病的治疗手段极其不足,目前的药物在治疗这种难治之症方面成效甚微。为了创制新型双抑制剂,我们采用了分子对接和动力学分析。我们的重点是由他克林和金刚烷脲融合形成的类似物,专门针对GSK-3β和BuChE进行设计。

方法

在以下研究中,使用AutoDock Vina进行分子对接,并使用薛定谔的Desmond和Qikprop模块进行分子动力学和ADMET预测。

结果

我们的研究结果表明,化合物DKS1和DKS4分别在GSK-3β和BuChE的活性域内表现出非凡的分子相互作用。这些化合物与关键氨基酸,包括Lys85、Val135、Asp133和Asp200,以及His438、Ser198和Thr120,进行了高度有利的相互作用,产生了令人鼓舞的对接能量-9.6和-12.3千卡/摩尔。此外,通过跨越100纳秒轨迹的广泛分子动力学模拟,我们确定了配体DKS1和DKS4在GSK-3β和乙酰胆碱酯酶(AChE)活性口袋内的强大稳定性。特别值得注意的是DKS5,其表现出79.792%的出色人体口服吸收率,超过了我们研究中观察到的其他分子的吸收率。

结论

总之,我们的计算机模拟研究结果揭示了我们精心设计的分子作为抗击阿尔茨海默病的开创性药物的潜力,能够同时抑制GSK-3β和BuChE。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/bdab1c37a579/pharmaceutics-16-00991-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/ab99611f8729/pharmaceutics-16-00991-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/6002939ad788/pharmaceutics-16-00991-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/44d0e2e0f1aa/pharmaceutics-16-00991-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/4d848059913b/pharmaceutics-16-00991-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/003a2d0ba1a1/pharmaceutics-16-00991-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/d5898687dda7/pharmaceutics-16-00991-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/f74e6a8f7656/pharmaceutics-16-00991-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/37ef1e150854/pharmaceutics-16-00991-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/9759e2721e9c/pharmaceutics-16-00991-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/3c1399483f61/pharmaceutics-16-00991-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/9206133e0f0d/pharmaceutics-16-00991-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/0fa27816e927/pharmaceutics-16-00991-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/0d64f86019ea/pharmaceutics-16-00991-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/828669c8653e/pharmaceutics-16-00991-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/bdab1c37a579/pharmaceutics-16-00991-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/ab99611f8729/pharmaceutics-16-00991-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/6002939ad788/pharmaceutics-16-00991-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/44d0e2e0f1aa/pharmaceutics-16-00991-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/4d848059913b/pharmaceutics-16-00991-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/003a2d0ba1a1/pharmaceutics-16-00991-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/d5898687dda7/pharmaceutics-16-00991-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/f74e6a8f7656/pharmaceutics-16-00991-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/37ef1e150854/pharmaceutics-16-00991-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/9759e2721e9c/pharmaceutics-16-00991-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/3c1399483f61/pharmaceutics-16-00991-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/9206133e0f0d/pharmaceutics-16-00991-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/0fa27816e927/pharmaceutics-16-00991-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/0d64f86019ea/pharmaceutics-16-00991-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/828669c8653e/pharmaceutics-16-00991-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00e8/11357659/bdab1c37a579/pharmaceutics-16-00991-g015.jpg

相似文献

1
Computational and ADMET Predictions of Novel Compounds as Dual Inhibitors of BuChE and GSK-3β to Combat Alzheimer's Disease.新型化合物作为丁酰胆碱酯酶和糖原合成酶激酶-3β双重抑制剂用于对抗阿尔茨海默病的计算及ADMET预测
Pharmaceutics. 2024 Jul 26;16(8):991. doi: 10.3390/pharmaceutics16080991.
2
Computational Investigation of Novel Compounds as Dual Inhibitors of AChE and GSK-3β for the Treatment of Alzheimer's Disease.新型化合物作为 AChE 和 GSK-3β双重抑制剂治疗阿尔茨海默病的计算研究。
Curr Top Med Chem. 2024;24(19):1738-1753. doi: 10.2174/0115680266295740240602122613.
3
Screening of potential drug for Alzheimer's disease: a computational study with GSK-3 β inhibition through virtual screening, docking, and molecular dynamics simulation.阿尔茨海默病潜在药物的筛选:通过虚拟筛选、对接和分子动力学模拟对糖原合成酶激酶-3β进行抑制的计算研究
J Biomol Struct Dyn. 2021 Nov;39(18):7065-7079. doi: 10.1080/07391102.2020.1805362. Epub 2020 Aug 11.
4
Investigation of naphthofuran moiety as potential dual inhibitor against BACE-1 and GSK-3β: molecular dynamics simulations, binding energy, and network analysis to identify first-in-class dual inhibitors against Alzheimer's disease.萘并呋喃部分作为抗β-分泌酶1(BACE-1)和糖原合成酶激酶-3β(GSK-3β)潜在双重抑制剂的研究:分子动力学模拟、结合能及网络分析以鉴定针对阿尔茨海默病的新型双重抑制剂
J Mol Model. 2017 Aug;23(8):239. doi: 10.1007/s00894-017-3396-7. Epub 2017 Jul 24.
5
Molecular Docking and Dynamics Simulation of Natural Phenolic Compounds with GSK-3β: A Putative Target to Combat Mortality in Patients with COVID-19.天然酚类化合物与 GSK-3β 的分子对接和动力学模拟:一种用于治疗 COVID-19 患者死亡率的潜在靶点。
Recent Adv Inflamm Allergy Drug Discov. 2022;15(1):16-34. doi: 10.2174/1872213X14666210916161447.
6
Identifying potential Alzheimer's disease therapeutics through GSK-3β inhibition: A molecular docking and dynamics approach.通过抑制 GSK-3β 来鉴定潜在的阿尔茨海默病治疗药物:一种分子对接和动力学方法。
Comput Biol Chem. 2024 Aug;111:108095. doi: 10.1016/j.compbiolchem.2024.108095. Epub 2024 May 13.
7
An approach - molecular docking analysis of flavonoids against GSK-3β and TNF-α targets in Alzheimer's disease.一种针对阿尔茨海默病中黄酮类化合物与糖原合成酶激酶-3β和肿瘤坏死因子-α靶点的分子对接分析方法。
J Recept Signal Transduct Res. 2024 Jun;44(3):73-81. doi: 10.1080/10799893.2024.2396430. Epub 2024 Aug 27.
8
Discovery of novel quinolin-2-one derivatives as potential GSK-3β inhibitors for treatment of Alzheimer's disease: Pharmacophore-based design, preliminary SAR, in vitro and in vivo biological evaluation.发现新型喹啉-2-酮衍生物作为治疗阿尔茨海默病的潜在糖原合成酶激酶-3β抑制剂:基于药效团的设计、初步构效关系、体外和体内生物学评价
Bioorg Chem. 2024 May;146:107324. doi: 10.1016/j.bioorg.2024.107324. Epub 2024 Mar 30.
9
Receptor-based pharmacophore modeling, virtual screening, and molecular docking studies for the discovery of novel GSK-3β inhibitors.基于受体的药效基团建模、虚拟筛选和分子对接研究,用于发现新型 GSK-3β 抑制剂。
J Mol Model. 2019 May 25;25(6):171. doi: 10.1007/s00894-019-4032-5.
10
Identification of novel brain penetrant GSK-3β inhibitors toward Alzheimer's disease therapy by virtual screening, molecular docking, dynamic simulation, and MMPBSA analysis.通过虚拟筛选、分子对接、动力学模拟和MMPBSA分析鉴定新型脑渗透性GSK-3β抑制剂用于阿尔茨海默病治疗
J Biomol Struct Dyn. 2024 Oct 20:1-27. doi: 10.1080/07391102.2024.2411524.

本文引用的文献

1
Synthesis, Molecular Docking, and Dynamic Simulation Targeting Main Protease (Mpro) of New, Thiazole Clubbed Pyridine Scaffolds as Potential COVID-19 Inhibitors.新型噻唑连接吡啶支架作为潜在的COVID-19抑制剂的合成、分子对接及动力学模拟:靶向主要蛋白酶(Mpro)
Curr Issues Mol Biol. 2023 Feb 7;45(2):1422-1442. doi: 10.3390/cimb45020093.
2
The biological activities of butyrylcholinesterase inhibitors.丁酰胆碱酯酶抑制剂的生物学活性。
Biomed Pharmacother. 2022 Feb;146:112556. doi: 10.1016/j.biopha.2021.112556. Epub 2021 Dec 22.
3
Schrödinger principal-component analysis: On the duality between principal-component analysis and the Schrödinger equation.
薛定谔主成分分析:论主成分分析与薛定谔方程之间的对偶性。
Phys Rev E. 2021 Aug;104(2-2):025307. doi: 10.1103/PhysRevE.104.025307.
4
Comprehensive Review on Alzheimer's Disease: Causes and Treatment.阿尔茨海默病的综合综述:病因与治疗。
Molecules. 2020 Dec 8;25(24):5789. doi: 10.3390/molecules25245789.
5
Structural modeling of GSK3β implicates the inactive (DFG-out) conformation as the target bound by TDZD analogs.GSK3β 的结构建模表明,无活性(DFG-out)构象是 TDZD 类似物的靶标结合形式。
Sci Rep. 2020 Oct 27;10(1):18326. doi: 10.1038/s41598-020-75020-w.
6
GSK3β and Tau Protein in Alzheimer's Disease and Epilepsy.阿尔茨海默病与癫痫中的糖原合成酶激酶3β及 Tau 蛋白
Front Cell Neurosci. 2020 Mar 17;14:19. doi: 10.3389/fncel.2020.00019. eCollection 2020.
7
Molecular Dynamics Simulations of the Interactions between Glial Cell Line-Derived Neurotrophic Factor Family Receptor GFRα1 and Small-Molecule Ligands.胶质细胞源性神经营养因子家族受体GFRα1与小分子配体相互作用的分子动力学模拟
ACS Omega. 2018 Sep 30;3(9):11407-11414. doi: 10.1021/acsomega.8b01524. Epub 2018 Sep 19.
8
In vivo regulation of glycogen synthase kinase 3β activity in neurons and brains.在体神经元和脑中糖原合酶激酶 3β活性的调节。
Sci Rep. 2017 Aug 17;7(1):8602. doi: 10.1038/s41598-017-09239-5.
9
Inhibitor designing, virtual screening, and docking studies for methyltransferase: A potential target against dengue virus.甲基转移酶的抑制剂设计、虚拟筛选和对接研究:针对登革病毒的潜在靶点
J Pharm Bioallied Sci. 2016 Jul-Sep;8(3):188-94. doi: 10.4103/0975-7406.171682.
10
Discovery of new acylaminopyridines as GSK-3 inhibitors by a structure guided in-depth exploration of chemical space around a pyrrolopyridinone core.通过对吡咯并吡啶酮核心周围化学空间进行结构导向的深入探索,发现新型酰基氨基吡啶作为GSK-3抑制剂。
Bioorg Med Chem Lett. 2015 May 1;25(9):1856-63. doi: 10.1016/j.bmcl.2015.03.046. Epub 2015 Mar 24.