• 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

β(1)-、β(2)-和β(3)-肾上腺素能受体激动剂的比较3D QSAR研究

Comparative 3D QSAR study on β(1)-, β(2)-, and β(3)-adrenoceptor agonists.

作者信息

Senthil Kumar P, Bharatam Prasad V

机构信息

Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research, (NIPER), Sector 67, S. A. S. Nagar, Mohali, 160 062 India.

出版信息

Med Chem Res. 2010 Dec;19(9):1121-1140. doi: 10.1007/s00044-009-9257-x. Epub 2009 Oct 31.

DOI:10.1007/s00044-009-9257-x
PMID:21170122
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2988205/
Abstract

A quantitative structure-activity relationship study of tryptamine-based derivatives of β(1)-, β(2)-, and β(3)-adrenoceptor agonists was conducted using comparative molecular field analysis (CoMFA). Correlation coefficients (cross-validated r(2)) of 0.578, 0.595, and 0.558 were obtained for the three subtypes, respectively, in three different CoMFA models. All three CoMFA models have different steric and electrostatic contributions, implying different requirements inside the binding cavity. The CoMFA coefficient contour plots of the three models and comparisons among these plots provide clues regarding the main chemical features responsible for the biological activity variations and also result in predictions which correlate very well with the observed biological activity. Based on the analysis, a summary regeospecific description of the requirements for improving β-adrenoceptor subtype selectivity is given.

摘要

利用比较分子场分析(CoMFA)对基于色胺的β(1)-、β(2)-和β(3)-肾上腺素能受体激动剂衍生物进行了定量构效关系研究。在三种不同的CoMFA模型中,三种亚型分别获得了0.578、0.595和0.558的相关系数(交叉验证r(2))。所有三种CoMFA模型都有不同的空间和静电贡献,这意味着结合腔内有不同的要求。这三种模型的CoMFA系数等高线图以及这些图之间的比较提供了有关导致生物活性变化的主要化学特征的线索,并且还得出了与观察到的生物活性相关性非常好的预测结果。基于该分析,给出了关于提高β-肾上腺素能受体亚型选择性要求的总结性区域特异性描述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/f4d751021149/44_2009_9257_Sch2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/565d4bab9822/44_2009_9257_Sch1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/5becfc6668ea/44_2009_9257_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/26907ad2617d/44_2009_9257_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/509600caff8d/44_2009_9257_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/3e114eb201a0/44_2009_9257_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/d5bbc3f5a3b5/44_2009_9257_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/f4d751021149/44_2009_9257_Sch2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/565d4bab9822/44_2009_9257_Sch1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/5becfc6668ea/44_2009_9257_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/26907ad2617d/44_2009_9257_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/509600caff8d/44_2009_9257_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/3e114eb201a0/44_2009_9257_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/d5bbc3f5a3b5/44_2009_9257_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/2988205/f4d751021149/44_2009_9257_Sch2_HTML.jpg

相似文献

1
Comparative 3D QSAR study on β(1)-, β(2)-, and β(3)-adrenoceptor agonists.β(1)-、β(2)-和β(3)-肾上腺素能受体激动剂的比较3D QSAR研究
Med Chem Res. 2010 Dec;19(9):1121-1140. doi: 10.1007/s00044-009-9257-x. Epub 2009 Oct 31.
2
Development of 3D-QSAR models for predicting the activities of chemicals to stimulate muscle growth via β-adrenoceptor.建立用于预测通过β-肾上腺素能受体刺激肌肉生长的化学物质活性的 3D-QSAR 模型。
Toxicol In Vitro. 2021 Dec;77:105251. doi: 10.1016/j.tiv.2021.105251. Epub 2021 Sep 30.
3
3D-QSAR of human immunodeficiency virus (I) protease inhibitors. III. Interpretation of CoMFA results.人类免疫缺陷病毒(I)蛋白酶抑制剂的3D-QSAR。III. CoMFA结果解读。
Drug Des Discov. 1994 Jul;12(1):29-51.
4
Flavonoid derivatives as adenosine receptor antagonists: a comparison of the hypothetical receptor binding site based on a comparative molecular field analysis model.类黄酮衍生物作为腺苷受体拮抗剂:基于比较分子场分析模型对假设受体结合位点的比较
J Med Chem. 1998 Jan 1;41(1):46-52. doi: 10.1021/jm970446z.
5
Three-dimensional quantitative structure activity relationship (QSAR) of cytotoxic active 3,5-diaryl-4,5-dihydropyrazole analogs: a comparative molecular field analysis (CoMFA) revisited study.细胞毒性活性3,5-二芳基-4,5-二氢吡唑类似物的三维定量构效关系(QSAR):一项重新审视的比较分子场分析(CoMFA)研究。
Chem Cent J. 2012 May 30;6(1):50. doi: 10.1186/1752-153X-6-50.
6
3D-QSAR comparative molecular field analysis on opioid receptor antagonists: pooling data from different studies.阿片受体拮抗剂的3D-QSAR比较分子场分析:整合来自不同研究的数据
J Med Chem. 2005 Mar 10;48(5):1620-9. doi: 10.1021/jm049117e.
7
Insight into the structural requirements of urokinase-type plasminogen activator inhibitors based on 3D QSAR CoMFA/CoMSIA models.基于三维定量构效关系比较分子场分析/比较分子相似性指数分析模型对尿激酶型纤溶酶原激活剂抑制剂结构要求的洞察。
J Med Chem. 2006 Jan 26;49(2):475-89. doi: 10.1021/jm050149r.
8
CoMFA and CoMSIA 3D-QSAR analysis of DMDP derivatives as anti-cancer agents.作为抗癌剂的DMDP衍生物的比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)三维定量构效关系分析
Bioinformation. 2008 Jun 27;2(9):384-91. doi: 10.6026/97320630002384.
9
CoMFA and CoMSIA 3D-QSAR analysis of diaryloxy-methano-phenanthrene derivatives as anti-tubercular agents.二芳氧基-亚甲基菲衍生物作为抗结核药物的比较分子力场分析和比较分子相似性指数分析
J Mol Model. 2007 Jan;13(1):99-109. doi: 10.1007/s00894-006-0124-0. Epub 2006 Jun 21.
10
Modification of polychlorinated phenols and evaluation of their toxicity, biodegradation and bioconcentration using three-dimensional quantitative structure-activity relationship models.多氯酚的改性及其毒性、生物降解和生物富集的评估——使用三维定量构效关系模型
J Mol Graph Model. 2017 Jan;71:1-12. doi: 10.1016/j.jmgm.2016.10.012. Epub 2016 Oct 21.

本文引用的文献

1
Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins.比较分子场分析(CoMFA)。1. 形状对类固醇与载体蛋白结合的影响。
J Am Chem Soc. 1988 Aug 1;110(18):5959-67. doi: 10.1021/ja00226a005.
2
Characterization of beta3-adrenergic receptor: determination of pharmacophore and 3D QSAR model for beta3 adrenergic receptor agonism.β3肾上腺素能受体的表征:β3肾上腺素能受体激动作用的药效团确定及三维定量构效关系模型
J Comput Aided Mol Des. 2005 Feb;19(2):93-110. doi: 10.1007/s10822-005-1558-7.
3
Beta3-adrenergic agonists: potential therapeutics for obesity.
β3-肾上腺素能激动剂:肥胖症的潜在治疗药物。
Expert Opin Investig Drugs. 1997 Dec;6(12):1811-25. doi: 10.1517/13543784.6.12.1811.
4
Tryptamine-based human beta3-adrenergic receptor agonists. Part 3: improved oral bioavailability via modification of the sulfonamide moiety.基于色胺的人β3-肾上腺素能受体激动剂。第3部分:通过磺酰胺部分的修饰提高口服生物利用度。
Bioorg Med Chem Lett. 2005 Feb 15;15(4):1061-4. doi: 10.1016/j.bmcl.2004.12.033.
5
The selectivity of beta-adrenoceptor antagonists at the human beta1, beta2 and beta3 adrenoceptors.β-肾上腺素能受体拮抗剂对人β1、β2和β3肾上腺素能受体的选择性。
Br J Pharmacol. 2005 Feb;144(3):317-22. doi: 10.1038/sj.bjp.0706048.
6
Discovery of 1,7-cyclized indoles as a new class of potent and highly selective human beta3-adrenergic receptor agonists with high cell permeability.发现1,7-环化吲哚作为一类新型的具有高细胞通透性的强效且高度选择性的人β3-肾上腺素能受体激动剂。
Bioorg Med Chem. 2005 Feb 1;13(3):855-68. doi: 10.1016/j.bmc.2004.10.032.
7
Discovery of a novel, potent and selective human beta3-adrenergic receptor agonist.
Bioorg Med Chem Lett. 2005 Jan 17;15(2):251-4. doi: 10.1016/j.bmcl.2004.11.001.
8
Tryptamine-based human beta3-adrenergic receptor agonists. Part 2: SAR of the methylene derivatives.
Bioorg Med Chem Lett. 2004 Dec 20;14(24):5963-6. doi: 10.1016/j.bmcl.2004.09.054.
9
Tryptamine-based human beta3-adrenergic receptor agonists. Part 1: SAR studies of the 7-position of the indole ring.基于色胺的人β3-肾上腺素能受体激动剂。第1部分:吲哚环7位的构效关系研究。
Bioorg Med Chem Lett. 2004 Dec 20;14(24):5959-62. doi: 10.1016/j.bmcl.2004.10.035.
10
BMS-201620: a selective beta 3 agonist.
Bioorg Med Chem Lett. 2004 Jul 5;14(13):3525-9. doi: 10.1016/j.bmcl.2004.04.074.