• 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

相似文献

1
Multilayered screening for multi-targeted anti-Alzheimer's and anti-Parkinson's agents through structure-based pharmacophore modelling, MCDM, docking, molecular dynamics and DFT: a case study of HDAC4 inhibitors.通过基于结构的药效团建模、多准则决策方法、对接、分子动力学和密度泛函理论对多靶点抗阿尔茨海默病和抗帕金森病药物进行多层筛选:以HDAC4抑制剂为例
In Silico Pharmacol. 2025 Jan 21;13(1):16. doi: 10.1007/s40203-024-00302-4. eCollection 2025.
2
Exploring the therapeutic potential of prolinamides as multi-targeted agents for Alzheimer's disease treatment: molecular docking and molecular dynamic simulation studies.探索脯氨酰胺作为治疗阿尔茨海默病的多靶点药物的治疗潜力:分子对接和分子动力学模拟研究
In Silico Pharmacol. 2024 Aug 31;12(2):80. doi: 10.1007/s40203-024-00250-z. eCollection 2024.
3
Integrative machine learning and molecular simulation approaches identify GSK3β inhibitors for neurodegenerative disease therapy.整合机器学习和分子模拟方法鉴定用于神经退行性疾病治疗的糖原合成酶激酶3β抑制剂。
Sci Rep. 2025 Jul 1;15(1):21632. doi: 10.1038/s41598-025-04129-7.
4
Exploring the therapeutic potential of rosemary compounds against Alzheimer's disease through GC-MS and molecular docking analysis.通过气相色谱-质谱联用(GC-MS)和分子对接分析探索迷迭香化合物对阿尔茨海默病的治疗潜力。
In Silico Pharmacol. 2024 Jul 17;12(2):63. doi: 10.1007/s40203-024-00238-9. eCollection 2024.
5
Marine natural compounds as potential CBP bromodomain inhibitors for treating cancer: an in-silico approach using molecular docking, ADMET, molecular dynamics simulations and MM-PBSA binding free energy calculations.海洋天然化合物作为潜在的用于治疗癌症的CBP溴结构域抑制剂:一种使用分子对接、ADMET、分子动力学模拟和MM-PBSA结合自由能计算的计算机模拟方法
In Silico Pharmacol. 2024 Sep 18;12(2):85. doi: 10.1007/s40203-024-00258-5. eCollection 2024.
6
Exploring Type II Diabetes Inhibitors from Genus Daphne Plant-species: An Integrated Computational Study.探索瑞香属植物物种中的II型糖尿病抑制剂:一项综合计算研究。
Comb Chem High Throughput Screen. 2025;28(8):1413-1442. doi: 10.2174/0113862073262227231005074024.
7
Therapeutic exploration potential of adenosine receptor antagonists through pharmacophore ligand-based modelling and pharmacokinetics studies against Parkinson disease.通过基于药效团配体的建模和针对帕金森病的药代动力学研究探索腺苷受体拮抗剂的治疗潜力。
In Silico Pharmacol. 2025 Jan 25;13(1):17. doi: 10.1007/s40203-025-00305-9. eCollection 2025.
8
Pharmacotherapies for sleep disturbances in dementia.痴呆症睡眠障碍的药物治疗
Cochrane Database Syst Rev. 2016 Nov 16;11(11):CD009178. doi: 10.1002/14651858.CD009178.pub3.
9
Tissue Factor and Its Cerebrospinal Fluid Protein Profiles in Parkinson's Disease.组织因子及其在帕金森病中的脑脊液蛋白谱。
J Parkinsons Dis. 2024;14(7):1405-1416. doi: 10.3233/JPD-240115.
10
Unveiling the Polypharmacological Potency of FDA-Approved Rebamipide for Alzheimer's Disease.揭示美国食品药品监督管理局(FDA)批准的瑞巴派特对阿尔茨海默病的多药药理学效力。
Pharmaceuticals (Basel). 2025 May 22;18(6):772. doi: 10.3390/ph18060772.

引用本文的文献

1
Behind the wall: Macrolithic artifacts as testing tools for activities and social structure on a Middle Chalcolithic site in Central Anatolia.墙后:中铜器时代安纳托利亚中部一处遗址上作为活动与社会结构测试工具的巨石制品
PLoS One. 2025 Apr 14;20(4):e0319698. doi: 10.1371/journal.pone.0319698. eCollection 2025.

本文引用的文献

1
De novo generation of dual-target ligands for the treatment of SARS-CoV-2 using deep learning, virtual screening, and molecular dynamic simulations.利用深度学习、虚拟筛选和分子动力学模拟从头生成用于治疗 SARS-CoV-2 的双靶标配体。
J Biomol Struct Dyn. 2024 Apr;42(6):3019-3029. doi: 10.1080/07391102.2023.2234481. Epub 2023 Jul 14.
2
1,3,4-Oxadiazole: An Emerging Scaffold to Inhibit the Thymidine Phosphorylase as an Anticancer Agent.1,3,4-恶二唑:作为抗癌剂抑制胸苷磷酸化酶的新兴支架。
Curr Med Chem. 2024;31(38):6227-6250. doi: 10.2174/0929867331666230712113943.
3
An insight into structure-activity relationship of naturally derived biological macromolecules for the treatment of Alzheimer's disease: a review.浅析天然生物大分子的结构-活性关系在阿尔茨海默病治疗中的应用:综述。
J Biomol Struct Dyn. 2024 Aug;42(12):6455-6471. doi: 10.1080/07391102.2023.2230279. Epub 2023 Jun 28.
4
Identification of terpenoids as dihydropteroate synthase and dihydrofolate reductase inhibitors through structure-based virtual screening and molecular dynamic simulations.通过基于结构的虚拟筛选和分子动力学模拟鉴定萜类化合物作为二氢叶酸合成酶和二氢叶酸还原酶抑制剂。
J Biomol Struct Dyn. 2024 Feb-Mar;42(4):1966-1984. doi: 10.1080/07391102.2023.2203249. Epub 2023 May 12.
5
Structure-based virtual screening and molecular dynamics simulations for detecting novel candidates for allosteric inhibition of EGFRT790M.基于结构的虚拟筛选和分子动力学模拟检测表皮生长因子受体 T790M 变构抑制的新型候选药物。
J Biomol Struct Dyn. 2024 Jan-Feb;42(2):571-597. doi: 10.1080/07391102.2023.2194425. Epub 2023 Apr 8.
6
Structure-based pharmacophore modeling 1. Automated random pharmacophore model generation.基于结构的药效团模型构建 1. 自动随机药效团模型生成。
J Mol Graph Model. 2023 Jun;121:108429. doi: 10.1016/j.jmgm.2023.108429. Epub 2023 Feb 11.
7
Discovery of novel VEGFR2-TK inhibitors by phthalimide pharmacophore based virtual screening, molecular docking, MD simulation and DFT.基于邻苯二甲酰亚胺药效团的虚拟筛选、分子对接、MD 模拟和 DFT 发现新型 VEGFR2-TK 抑制剂。
J Biomol Struct Dyn. 2023;41(22):13056-13077. doi: 10.1080/07391102.2023.2178510. Epub 2023 Feb 12.
8
Fighting Antibiotic Resistance: New Pyrimidine-Clubbed Benzimidazole Derivatives as Potential DHFR Inhibitors.抗抗生素耐药性:新型嘧啶基联苯并咪唑衍生物作为潜在的 DHFR 抑制剂。
Molecules. 2023 Jan 4;28(2):501. doi: 10.3390/molecules28020501.
9
Role of multi-targeted bioactive natural molecules and their derivatives in the treatment of Alzheimer's disease: an insight into structure-activity relationship.多靶点生物活性天然分子及其衍生物在阿尔茨海默病治疗中的作用:对构效关系的深入了解。
J Biomol Struct Dyn. 2023 Dec;41(20):11286-11323. doi: 10.1080/07391102.2022.2158136. Epub 2022 Dec 29.
10
Pharmacophore based virtual screening of cholinesterase inhibitors: search of new potential drug candidates as antialzheimer agents.基于药效团的胆碱酯酶抑制剂虚拟筛选:寻找作为抗阿尔茨海默病药物的新潜在候选药物。
In Silico Pharmacol. 2022 Sep 29;10(1):18. doi: 10.1007/s40203-022-00133-1. eCollection 2022.

通过基于结构的药效团建模、多准则决策方法、对接、分子动力学和密度泛函理论对多靶点抗阿尔茨海默病和抗帕金森病药物进行多层筛选:以HDAC4抑制剂为例

Multilayered screening for multi-targeted anti-Alzheimer's and anti-Parkinson's agents through structure-based pharmacophore modelling, MCDM, docking, molecular dynamics and DFT: a case study of HDAC4 inhibitors.

作者信息

Chhabra Nikita, Matore Balaji Wamanrao, Lakra Nisha, Banjare Purusottam, Murmu Anjali, Bhattacharya Arijit, Gayen Shovanlal, Singh Jagadish, Roy Partha Pratim

机构信息

Laboratory of Drug Discovery and Ecotoxicology, Department of Pharmacy, Guru Ghasidas Vishwavidyalaya, Bilaspur, 495009 India.

Laboratory of Drug Design and Discovery, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700032 India.

出版信息

In Silico Pharmacol. 2025 Jan 21;13(1):16. doi: 10.1007/s40203-024-00302-4. eCollection 2025.

DOI:10.1007/s40203-024-00302-4
PMID:39850265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11751275/
Abstract

ABSTRACT

Alzheimer's disease (AD) and Parkinson's disease (PD) are neurological conditions that primarily impact the elderly having distinctive traits and some similarities in terms of symptoms and progression. The multifactorial nature of AD and PD encourages exploring potentiality of multi-target therapy for addressing these conditions to conventional, the "one drug one target" strategy. This study highlights the searching of potential HDAC4 inhibitors through multiple screening approaches. In this context, structure-based pharmacophore model, ligand profiler mapping and MCDM approaches were performed for target prioritization. Similarly, ligand profiler, MCDM and Docking studies were performed to prioritize multi-targeted HDAC4 inhibitors. These comprehensive approaches unveiled 5 common targets and 5 multi-targeted prioritized compounds consensually. MD simulations, DFT and binding free energy calculations corroborated the stability and robustness of propitious compound 774 across 5 prioritized targets. In conclusion, the screened compound 774 (ChEMBL 4063938) could be a promising multi-targeted therapy for managing AD and PD further rendering experimental validation.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s40203-024-00302-4.

摘要

摘要

阿尔茨海默病(AD)和帕金森病(PD)是主要影响老年人的神经疾病,在症状和进展方面具有独特特征且存在一些相似之处。AD和PD的多因素性质促使人们探索多靶点治疗相对于传统“一药一靶”策略来应对这些疾病的潜力。本研究重点通过多种筛选方法寻找潜在的组蛋白去乙酰化酶4(HDAC4)抑制剂。在此背景下,进行了基于结构的药效团模型、配体谱图绘制和多标准决策方法(MCDM)以确定靶点优先级。同样,进行了配体谱图、MCDM和对接研究以确定多靶点HDAC4抑制剂的优先级。这些综合方法一致揭示了5个共同靶点和5种多靶点优先化合物。分子动力学(MD)模拟、密度泛函理论(DFT)和结合自由能计算证实了有利化合物774在5个优先靶点上的稳定性和稳健性。总之,筛选出的化合物774(ChEMBL 4063938)可能是一种有前景的用于治疗AD和PD的多靶点疗法,有待进一步实验验证。

补充信息

在线版本包含可在10.1007/s40203-024-00302-4获取的补充材料。