• 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

评价与抗抑郁活性诱导相关的药理学描述符及其通过定量构效关系/定量构效预测方法的预测。

Evaluation of the pharmacological descriptors related to the induction of antidepressant activity and its prediction by QSAR/QRAR methods.

机构信息

Dept. of Anatomy, Animal Physiology and Biophysics, University of Bucharest, Faculty of Biology, 91-95 Spl. Independentei, Bucharest-076201, Romania.

出版信息

Mini Rev Med Chem. 2012 Jun;12(6):467-76. doi: 10.2174/138955712800493834.

DOI:10.2174/138955712800493834
PMID:22587763
Abstract

Antidepressants are psychiatric agents used for the treatment of different types of depression, being at present amongst the most commonly prescribed drugs, while their effectiveness and adverse effects are still the subject of many studies. To reduce the inefficiency of known antidepressants caused by their side-effects, many research efforts have recently focused on the development of improved strategies for new antidepressants drug design. For this reason it is necessary to apply very fast and precise techniques, such as QSAR (Quantitative Structure-Activity Relationships) and QRAR (Quantitative Retention-Activity Relationship), which are capable to analyze and predict the biological activity for these structures, taking in account the possible changes of the molecular structures and chromatographic parameters. We discuss the pharmaceutical descriptors (van der Waals, electrostatic, hydrophobicity, hydrogen donor/acceptor bond, Verloop's parameters, polar area) involved in QSAR and also chromatographic parameters involved in QRAR studies of antidepressants. Antidepressant activities of alkanol piperazine, acetamides, arylpiperazines, thienopyrimidinone derivatives (as preclinical antidepressants) and also the antidepressants already used in clinical practice are mentioned.

摘要

抗抑郁药是用于治疗不同类型抑郁症的精神药物,目前是最常开的药物之一,而它们的疗效和不良反应仍然是许多研究的主题。为了降低已知抗抑郁药因副作用而导致的低效性,最近许多研究工作都集中在开发新的抗抑郁药药物设计的改进策略上。因此,有必要应用非常快速和精确的技术,如 QSAR(定量构效关系)和 QRAR(定量保留活性关系),这些技术能够分析和预测这些结构的生物活性,考虑到分子结构和色谱参数的可能变化。我们讨论了 QSAR 中涉及的药物描述符(范德华力、静电、疏水性、氢键供体/受体键、Verloop 参数、极区)以及 QRAR 研究中涉及的色谱参数。提到了烷醇哌嗪、乙酰胺、芳基哌嗪、噻吩并嘧啶酮衍生物(作为临床前抗抑郁药)和已经在临床实践中使用的抗抑郁药的抗抑郁活性。

相似文献

1
Evaluation of the pharmacological descriptors related to the induction of antidepressant activity and its prediction by QSAR/QRAR methods.评价与抗抑郁活性诱导相关的药理学描述符及其通过定量构效关系/定量构效预测方法的预测。
Mini Rev Med Chem. 2012 Jun;12(6):467-76. doi: 10.2174/138955712800493834.
2
Quantitative structure-activity relationship analysis of aryl alkanol piperazine derivatives with antidepressant activities.芳烷醇哌嗪衍生物的定量构效关系分析及其抗抑郁活性。
Eur J Med Chem. 2009 Nov;44(11):4367-75. doi: 10.1016/j.ejmech.2009.05.029. Epub 2009 Jun 6.
3
QSAR Analysis of Multimodal Antidepressants Vortioxetine Analogs Using Physicochemical Descriptors and MLR Modeling.使用物理化学描述符和多元线性回归建模对多模式抗抑郁药伏硫西汀类似物进行定量构效关系分析
Curr Comput Aided Drug Des. 2019;15(4):294-307. doi: 10.2174/1573409914666181011144810.
4
3D-QSAR study indicates an enhancing effect of membrane ions on psychiatric drugs targeting serotonin receptor 5-HT1A.三维定量构效关系研究表明,膜离子对靶向5-羟色胺受体5-HT1A的精神药物具有增强作用。
Mol Biosyst. 2012 Apr;8(5):1418-25. doi: 10.1039/c2mb00005a. Epub 2012 Feb 28.
5
Synthesis, antidepressant evaluation and QSAR studies of novel 2-(5H-[1,2,4]triazino[5,6-b]indol-3-ylthio)-N-(substituted phenyl)acetamides.新型 2-(5H-[1,2,4]三唑并[5,6-b]吲哚-3-基硫代)-N-(取代苯基)乙酰胺的合成、抗抑郁评价及定量构效关系研究。
Bioorg Med Chem Lett. 2010 Aug 1;20(15):4661-4. doi: 10.1016/j.bmcl.2010.05.100. Epub 2010 Jun 1.
6
3D-QSAR design of new escitalopram derivatives for the treatment of major depressive disorders.用于治疗重度抑郁症的新型艾司西酞普兰衍生物的3D-QSAR设计
Sci Pharm. 2010 Apr-Jun;78(2):233-48. doi: 10.3797/scipharm.0912-22. Epub 2010 May 5.
7
Modelling of serotonin reuptake inhibitory and histamine H₃antagonistic activity of piperazine and diazepane amides: QSAR rationales for co-optimization of the activity profiles.哌嗪和二氮嗪酰胺类化合物对 5-羟色胺再摄取抑制和组胺 H₃拮抗活性的建模:共同优化活性特征的定量构效关系原理。
SAR QSAR Environ Res. 2011 Jun;22(3):365-83. doi: 10.1080/1062936X.2011.569895.
8
Molecular Modelling of Potential Candidates for the Treatment of Depression.抑郁症治疗潜在候选药物的分子建模。
Mol Inform. 2019 Jul;38(7):e1900024. doi: 10.1002/minf.201900024. Epub 2019 May 27.
9
Mutational and in silico analyses for antidepressant block of astroglial inward-rectifier Kir4.1 channel.星形胶质细胞内向整流钾通道Kir4.1的抗抑郁药阻断作用的突变和计算机模拟分析
Mol Pharmacol. 2009 Jun;75(6):1287-95. doi: 10.1124/mol.108.052936. Epub 2009 Mar 5.
10
QSAR study on dual 5-HT1A and 5-HT1B antagonists: an insight into the structural requirement for antidepressant activity.5-羟色胺1A和5-羟色胺1B双重拮抗剂的定量构效关系研究:深入了解抗抑郁活性的结构要求
Arch Pharm (Weinheim). 2008 May;341(5):314-22. doi: 10.1002/ardp.200700224.

引用本文的文献

1
Bioinformatics Tools for the Analysis of Active Compounds Identified in Ranunculaceae Species.用于分析毛茛科植物中鉴定出的活性化合物的生物信息学工具
Pharmaceuticals (Basel). 2023 Jun 5;16(6):842. doi: 10.3390/ph16060842.
2
Target Prediction of 5,10,15,20-Tetrakis(4'-Sulfonatophenyl)-Porphyrin Using Molecular Docking.基于分子对接的5,10,15,20-四(4'-磺酸基苯基)卟啉的靶点预测
Pharmaceutics. 2022 Nov 5;14(11):2390. doi: 10.3390/pharmaceutics14112390.
3
Advanced Bioinformatics Tools in the Pharmacokinetic Profiles of Natural and Synthetic Compounds with Anti-Diabetic Activity.
具有抗糖尿病活性的天然和合成化合物的药代动力学特征中的高级生物信息学工具。
Biomolecules. 2021 Nov 14;11(11):1692. doi: 10.3390/biom11111692.
4
Potential Therapeutic Approaches to Alzheimer's Disease By Bioinformatics, Cheminformatics And Predicted Adme-Tox Tools.通过生物信息学、化学信息学和预测的药物代谢及毒性工具治疗阿尔茨海默病的潜在方法
Curr Neuropharmacol. 2020;18(8):696-719. doi: 10.2174/1570159X18666191230120053.
5
Current Treatment Strategies and Nanoparticle-Mediated Drug Delivery Systems for Pulmonary Arterial Hypertension.肺动脉高压的当前治疗策略和纳米颗粒介导的药物传递系统。
Int J Mol Sci. 2019 Nov 23;20(23):5885. doi: 10.3390/ijms20235885.
6
Preparation and Characterization of Whey Protein Isolate-DIM Nanoparticles.乳清分离蛋白-DIM 纳米粒子的制备与表征。
Int J Mol Sci. 2019 Aug 12;20(16):3917. doi: 10.3390/ijms20163917.
7
Prevention of Deficit in Neuropsychiatric Disorders through Monitoring of Arsenic and Its Derivatives as Well as Through Bioinformatics and Cheminformatics.通过监测砷及其衍生物以及生物信息学和化学信息学来预防神经精神障碍。
Int J Mol Sci. 2019 Apr 12;20(8):1804. doi: 10.3390/ijms20081804.
8
Novel 1-(2-pyrimidin-2-yl)piperazine derivatives as selective monoamine oxidase (MAO)-A inhibitors.新型1-(2-嘧啶-2-基)哌嗪衍生物作为选择性单胺氧化酶(MAO)-A抑制剂
J Enzyme Inhib Med Chem. 2017 Dec;32(1):193-202. doi: 10.1080/14756366.2016.1247054.
9
Chemical Structure-Biological Activity Models for Pharmacophores' 3D-Interactions.药效团三维相互作用的化学结构-生物活性模型
Int J Mol Sci. 2016 Jul 8;17(7):1087. doi: 10.3390/ijms17071087.