Comparison of structurally different allosteric modulators of muscarinic receptors by self-organizing neural networks

Ulrike Holzgrabe , Markus Wagener , Johann Gasteiger
{"title":"Comparison of structurally different allosteric modulators of muscarinic receptors by self-organizing neural networks","authors":"Ulrike Holzgrabe ,&nbsp;Markus Wagener ,&nbsp;Johann Gasteiger","doi":"10.1016/S0263-7855(96)00060-4","DOIUrl":null,"url":null,"abstract":"<div><p>Similarities in the molecular structure and surface properties of the allosteric modulators of muscarinic receptors, alcuronium, gallamine, tubocurarine, and the hexamethonium compound W84, a well-known pharmacological tool, are explored. The analysis of the molecular electrostatic potential (MEP) as well as of the shape of the molecular surface is performed by self-organizing neural networks. A distorted sandwich conformation of W84 is suggested to be the active form. The importance of the MEP for binding of these compounds could be established.</p></div>","PeriodicalId":73837,"journal":{"name":"Journal of molecular graphics","volume":"14 4","pages":"Pages 185-193"},"PeriodicalIF":0.0000,"publicationDate":"1996-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0263-7855(96)00060-4","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular graphics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263785596000604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

Abstract

Similarities in the molecular structure and surface properties of the allosteric modulators of muscarinic receptors, alcuronium, gallamine, tubocurarine, and the hexamethonium compound W84, a well-known pharmacological tool, are explored. The analysis of the molecular electrostatic potential (MEP) as well as of the shape of the molecular surface is performed by self-organizing neural networks. A distorted sandwich conformation of W84 is suggested to be the active form. The importance of the MEP for binding of these compounds could be established.

自组织神经网络对毒蕈碱受体结构不同变构调节剂的比较
探讨了毒蕈碱受体的变构调节剂、铝库溴铵、胆碱、管库溴铵和六甲基铵化合物W84的分子结构和表面性质的相似性,这是一种众所周知的药理工具。利用自组织神经网络对分子静电势(MEP)和分子表面形状进行分析。W84的扭曲夹层构象被认为是活性构象。MEP对这些化合物的结合具有重要意义。
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
自引率
0.00%
发文量
0
×
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