Conformational ensembles, signal transduction and residue hot spots: application to drug discovery.

Saliha Ece Acuner Ozbabacan, Attila Gursoy, Ozlem Keskin, Ruth Nussinov
{"title":"Conformational ensembles, signal transduction and residue hot spots: application to drug discovery.","authors":"Saliha Ece Acuner Ozbabacan,&nbsp;Attila Gursoy,&nbsp;Ozlem Keskin,&nbsp;Ruth Nussinov","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>A key step in drug development is the identification of both a protein target and its topological cellular network location and interactions, with regard to information flow in disease-causing events and to medication effects. Information flow involves a cascade of binding or covalent modification processes, with each step being affected by those that occur previously. Proteins are flexible, and information flows via dynamic changes in the distribution of conformational protein ensembles; molecular recognition is mainly determined by these changes. Drug discovery often focuses on signaling proteins situated at the crossroads of cellular networks; such signaling proteins have multiple partners that bind through shared binding sites. This review highlights these shared binding sites, and describes research to suggest that partners binding at these sites could at least partly interact via different energetically dominant 'hot-spot' residues. The data also indicate that, despite dynamic changes in the distribution of the conformational ensembles, the hot-spot conformations are retained in their pre-organized states.</p>","PeriodicalId":10809,"journal":{"name":"Current opinion in drug discovery & development","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in drug discovery & development","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A key step in drug development is the identification of both a protein target and its topological cellular network location and interactions, with regard to information flow in disease-causing events and to medication effects. Information flow involves a cascade of binding or covalent modification processes, with each step being affected by those that occur previously. Proteins are flexible, and information flows via dynamic changes in the distribution of conformational protein ensembles; molecular recognition is mainly determined by these changes. Drug discovery often focuses on signaling proteins situated at the crossroads of cellular networks; such signaling proteins have multiple partners that bind through shared binding sites. This review highlights these shared binding sites, and describes research to suggest that partners binding at these sites could at least partly interact via different energetically dominant 'hot-spot' residues. The data also indicate that, despite dynamic changes in the distribution of the conformational ensembles, the hot-spot conformations are retained in their pre-organized states.

构象集成,信号转导和残基热点:在药物发现中的应用。
药物开发的关键步骤是确定蛋白质靶点及其拓扑细胞网络位置和相互作用,以及致病事件中的信息流和药物效果。信息流涉及一系列结合或共价修饰过程,每一步都受到前一步的影响。蛋白质是灵活的,信息通过构象蛋白群分布的动态变化而流动;分子识别主要是由这些变化决定的。药物发现通常集中在位于细胞网络十字路口的信号蛋白上;这类信号蛋白有多个通过共享结合位点结合的伙伴。这篇综述强调了这些共同的结合位点,并描述了研究表明,在这些位点上结合的伙伴至少可以部分地通过不同的能量优势“热点”残基相互作用。数据还表明,尽管构象群的分布发生了动态变化,但热点构象仍保持在其预组织状态。
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
审稿时长
>12 weeks
×
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