利用残基间平均距离统计分析β三明治蛋白折叠位点的局部序列

Q3 Computer Science Open Bioinformatics Journal Pub Date : 2011-04-20 DOI:10.2174/1875036201105010059
Y. Ishizuka, T. Kikuchi
{"title":"利用残基间平均距离统计分析β三明治蛋白折叠位点的局部序列","authors":"Y. Ishizuka, T. Kikuchi","doi":"10.2174/1875036201105010059","DOIUrl":null,"url":null,"abstract":"The sequences of azurin and titin,  sandwich proteins, are analyzed based on inter-residue average distance statistics. A kind of predicted contact map based on inter-residue average distance statistics (Average Distance Map, ADM) is used to pinpoint regions of possible compact regions for two proteins. We compare predicted compact regions with the positions of the residues with experimental high  values for these proteins reported in the literature. The results reveal that the regions predicted by ADMs correspond to the positions of residues with the high  value. Furthermore, we perform random sampling of 3D conformations using these protein sequences with a potential derived from inter-residue average distance statistics. It is demonstrated that the residues with highest contact frequency during the simulations quali- tatively correspond to the residues with the highest  values for these proteins. Importantly, analysis with inter-residue av- erage distance statistics predicts the properties of folding processes of the  sandwich proteins starting from only sequence information.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":"5 1","pages":"59-68"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Analysis of the Local Sequences of Folding Sites in β Sandwich Proteinswith Inter-Residue Average Distance Statistics\",\"authors\":\"Y. Ishizuka, T. Kikuchi\",\"doi\":\"10.2174/1875036201105010059\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The sequences of azurin and titin,  sandwich proteins, are analyzed based on inter-residue average distance statistics. A kind of predicted contact map based on inter-residue average distance statistics (Average Distance Map, ADM) is used to pinpoint regions of possible compact regions for two proteins. We compare predicted compact regions with the positions of the residues with experimental high  values for these proteins reported in the literature. The results reveal that the regions predicted by ADMs correspond to the positions of residues with the high  value. Furthermore, we perform random sampling of 3D conformations using these protein sequences with a potential derived from inter-residue average distance statistics. It is demonstrated that the residues with highest contact frequency during the simulations quali- tatively correspond to the residues with the highest  values for these proteins. Importantly, analysis with inter-residue av- erage distance statistics predicts the properties of folding processes of the  sandwich proteins starting from only sequence information.\",\"PeriodicalId\":38956,\"journal\":{\"name\":\"Open Bioinformatics Journal\",\"volume\":\"5 1\",\"pages\":\"59-68\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Bioinformatics Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1875036201105010059\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Bioinformatics Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1875036201105010059","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: 10

摘要

基于残基间平均距离统计分析了夹层蛋白azurin和titin的序列。一种基于残基间平均距离统计的预测接触图(average distance map, ADM)用于确定两个蛋白质可能紧密区域的区域。我们将预测的紧致区域与文献中报道的这些蛋白质的实验高值的残基位置进行比较。结果表明,ADMs预测的区域与值较高的残基位置相对应。此外,我们使用这些蛋白质序列进行三维构象的随机抽样,这些蛋白质序列具有残基间平均距离统计的潜力。结果表明,在模拟过程中,接触频率最高的残基定性地对应于这些蛋白质值最高的残基。重要的是,残基间平均距离统计分析仅从序列信息开始预测三明治蛋白折叠过程的性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Analysis of the Local Sequences of Folding Sites in β Sandwich Proteinswith Inter-Residue Average Distance Statistics
The sequences of azurin and titin,  sandwich proteins, are analyzed based on inter-residue average distance statistics. A kind of predicted contact map based on inter-residue average distance statistics (Average Distance Map, ADM) is used to pinpoint regions of possible compact regions for two proteins. We compare predicted compact regions with the positions of the residues with experimental high  values for these proteins reported in the literature. The results reveal that the regions predicted by ADMs correspond to the positions of residues with the high  value. Furthermore, we perform random sampling of 3D conformations using these protein sequences with a potential derived from inter-residue average distance statistics. It is demonstrated that the residues with highest contact frequency during the simulations quali- tatively correspond to the residues with the highest  values for these proteins. Importantly, analysis with inter-residue av- erage distance statistics predicts the properties of folding processes of the  sandwich proteins starting from only sequence information.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 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