ProMode-Oligomer: Database of Normal Mode Analysis in Dihedral Angle Space for a Full-Atom System of Oligomeric Proteins

Q3 Computer Science Open Bioinformatics Journal Pub Date : 2012-02-21 DOI:10.2174/1875036201206010009
H. Wako, S. Endo
{"title":"ProMode-Oligomer: Database of Normal Mode Analysis in Dihedral Angle Space for a Full-Atom System of Oligomeric Proteins","authors":"H. Wako, S. Endo","doi":"10.2174/1875036201206010009","DOIUrl":null,"url":null,"abstract":"The database ProMode-Oligomer (http://promode.socs.waseda.ac.jp/promode_oligomer) was constructed by collecting normal-mode-analysis (NMA) results for oligomeric proteins including protein-protein complexes. As in the ProMode database developed earlier for monomers and individual subunits of oligomers (Bioinformatics vol. 20, pp. 2035-2043, 2004), NMA was performed for a full-atom system using dihedral angles as independent variables, and we re- leased the results (fluctuations of atoms, fluctuations of dihedral angles, correlations between atomic fluctuations, etc.). The vibrating oligomer is visualized by animation in an interactive molecular viewer for each of the 20 lowest-frequency normal modes. In addition, displacement vectors of constituent atoms for each normal mode were decomposed into two characteristic motions in individual subunits, i.e., internal and external (deformation and rigid-body movements of the in- dividual subunits, respectively), and then the mutual movements of the subunits and the movement of atoms around the interface regions were investigated. These results released in ProMode-Oligomer are useful for characterizing oligomeric proteins from a dynamic point of view. The analyses are illustrated with immunoglobulin light- and heavy-chain variable domains bound to lysozyme and to a 12-residue peptide.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Bioinformatics Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1875036201206010009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 2

Abstract

The database ProMode-Oligomer (http://promode.socs.waseda.ac.jp/promode_oligomer) was constructed by collecting normal-mode-analysis (NMA) results for oligomeric proteins including protein-protein complexes. As in the ProMode database developed earlier for monomers and individual subunits of oligomers (Bioinformatics vol. 20, pp. 2035-2043, 2004), NMA was performed for a full-atom system using dihedral angles as independent variables, and we re- leased the results (fluctuations of atoms, fluctuations of dihedral angles, correlations between atomic fluctuations, etc.). The vibrating oligomer is visualized by animation in an interactive molecular viewer for each of the 20 lowest-frequency normal modes. In addition, displacement vectors of constituent atoms for each normal mode were decomposed into two characteristic motions in individual subunits, i.e., internal and external (deformation and rigid-body movements of the in- dividual subunits, respectively), and then the mutual movements of the subunits and the movement of atoms around the interface regions were investigated. These results released in ProMode-Oligomer are useful for characterizing oligomeric proteins from a dynamic point of view. The analyses are illustrated with immunoglobulin light- and heavy-chain variable domains bound to lysozyme and to a 12-residue peptide.
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
ProMode-Oligomer:低聚蛋白全原子体系二面角空间正态分析数据库
通过收集低聚蛋白(包括蛋白-蛋白复合物)的正常模式分析(NMA)结果,构建数据库ProMode-Oligomer (http://promode.socs.waseda.ac.jp/promode_oligomer)。正如之前为单体和低聚物的单个亚基开发的ProMode数据库一样(生物信息学vol. 20, pp. 2035-2043, 2004), NMA是对使用二面角作为自变量的全原子系统进行的,我们公布了结果(原子的波动、二面角的波动、原子波动之间的相关性等)。在交互式分子观察器中,对20种最低频率正态模式中的每一种,通过动画显示振动低聚物。此外,将每个法向模的组成原子的位移向量分解为单个亚基的内部和外部两个特征运动(分别为单个亚基的变形和刚体运动),然后研究亚基之间的相互运动和原子在界面区域周围的运动。这些结果在ProMode-Oligomer上发表,对从动态的角度表征寡聚蛋白是有用的。免疫球蛋白轻链和重链可变结构域与溶菌酶和12个残基肽结合。
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
Open Bioinformatics Journal
Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
期刊介绍: The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.
期刊最新文献
Decision-making Support System for Predicting and Eliminating Malnutrition and Anemia Immunoinformatics Approach for the Design of Chimeric Vaccine Against Whitmore Disease A New Deep Learning Model based on Neuroimaging for Predicting Alzheimer's Disease Early Prediction of Covid-19 Samples from Chest X-ray Images using Deep Learning Approach Electronic Health Record (EHR) System Development for Study on EHR Data-based Early Prediction of Diabetes Using Machine Learning Algorithms
×
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