Computer-based design of novel protein structures.

Glenn L Butterfoss, Brian Kuhlman
{"title":"Computer-based design of novel protein structures.","authors":"Glenn L Butterfoss,&nbsp;Brian Kuhlman","doi":"10.1146/annurev.biophys.35.040405.102046","DOIUrl":null,"url":null,"abstract":"<p><p>Over the past 10 years there has been tremendous success in the area of computational protein design. Protein design software has been used to stabilize proteins, solubilize membrane proteins, design intermolecular interactions, and design new protein structures. A key motivation for these studies is that they test our understanding of protein energetics and structure. De novo design of novel structures is a particularly rigorous test because the protein backbone must be designed in addition to the amino acid side chains. A priori it is not guaranteed that the target backbone is even designable. To address this issue, researchers have developed a variety of methods for generating protein-like scaffolds and for optimizing the protein backbone in conjunction with the amino acid sequence. These protocols have been used to design proteins from scratch and to explore sequence space for naturally occurring protein folds.</p>","PeriodicalId":8270,"journal":{"name":"Annual review of biophysics and biomolecular structure","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev.biophys.35.040405.102046","citationCount":"129","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual review of biophysics and biomolecular structure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1146/annurev.biophys.35.040405.102046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 129

Abstract

Over the past 10 years there has been tremendous success in the area of computational protein design. Protein design software has been used to stabilize proteins, solubilize membrane proteins, design intermolecular interactions, and design new protein structures. A key motivation for these studies is that they test our understanding of protein energetics and structure. De novo design of novel structures is a particularly rigorous test because the protein backbone must be designed in addition to the amino acid side chains. A priori it is not guaranteed that the target backbone is even designable. To address this issue, researchers have developed a variety of methods for generating protein-like scaffolds and for optimizing the protein backbone in conjunction with the amino acid sequence. These protocols have been used to design proteins from scratch and to explore sequence space for naturally occurring protein folds.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于计算机的新型蛋白质结构设计。
在过去的10年里,计算蛋白质设计领域取得了巨大的成功。蛋白质设计软件已被用于稳定蛋白质、溶解膜蛋白、设计分子间相互作用和设计新的蛋白质结构。这些研究的一个关键动机是它们测试我们对蛋白质能量学和结构的理解。新结构的从头设计是一项特别严格的测试,因为除了氨基酸侧链之外,还必须设计蛋白质主链。先验地,它甚至不能保证目标主干是可设计的。为了解决这个问题,研究人员已经开发了多种方法来生成蛋白质样支架,并优化蛋白质骨架与氨基酸序列的结合。这些协议已被用于从头开始设计蛋白质,并探索自然发生的蛋白质折叠的序列空间。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Visualizing flexibility at molecular resolution: analysis of heterogeneity in single-particle electron microscopy reconstructions. Phase boundaries and biological membranes. Calculation of protein-ligand binding affinities. Synthetic gene circuits: design with directed evolution. Bilayer thickness and membrane protein function: an energetic perspective.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1