蛋白质拓扑和折叠动力学的网络分析

Haiyan Li, Jihua Wang
{"title":"蛋白质拓扑和折叠动力学的网络分析","authors":"Haiyan Li, Jihua Wang","doi":"10.1109/FBIE.2008.37","DOIUrl":null,"url":null,"abstract":"It is a challenging task to investigate the different influence of long-range and short-range interactions on two-state and three-state folding kinetics of protein. The networks of the 30 two-state proteins and 15 three-state proteins are constructed at three length scales: protein contact networks, long-range interaction networks and short-range interaction networks, using complex networks analysis. To uncover the relationship between structural properties and folding kinetics of the proteins, the correlations of protein network parameters with protein folding rate and topology parameters contact order are analyzed. The results show that protein contact networks and short-range interaction networks (for both two-state and three-state proteins) exhibit the dasiasmall-worldpsila property and long-range interaction networks indicate dasiascale-freepsila behavior. Our results further indicate that all protein contact networks and short-range interaction networks are assortative type. While some of long-range interaction networks are of assortative type, the others are of disassortative type. For two-state proteins, the clustering coefficients of short-range interaction networks show prominent correlation with folding rate and contact order. The assortativity coefficients of short-range interaction networks also show remarkable correlation with folding rate and contact order. Similar correlations exist in protein contact networks of three-state proteins. For two-state proteins, the correlation between contact order and folding rate is determined by the numbers of local contacts. Short-range interactions play a key role in determining the connecting trend among amino acids and they influence directly the folding rate of two-state proteins. For three-state proteins, the folding rate is determined by short-range and long-range interactions among residues together.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Network Analysis of Protein Topology and Folding Kinetics\",\"authors\":\"Haiyan Li, Jihua Wang\",\"doi\":\"10.1109/FBIE.2008.37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is a challenging task to investigate the different influence of long-range and short-range interactions on two-state and three-state folding kinetics of protein. The networks of the 30 two-state proteins and 15 three-state proteins are constructed at three length scales: protein contact networks, long-range interaction networks and short-range interaction networks, using complex networks analysis. To uncover the relationship between structural properties and folding kinetics of the proteins, the correlations of protein network parameters with protein folding rate and topology parameters contact order are analyzed. The results show that protein contact networks and short-range interaction networks (for both two-state and three-state proteins) exhibit the dasiasmall-worldpsila property and long-range interaction networks indicate dasiascale-freepsila behavior. Our results further indicate that all protein contact networks and short-range interaction networks are assortative type. While some of long-range interaction networks are of assortative type, the others are of disassortative type. For two-state proteins, the clustering coefficients of short-range interaction networks show prominent correlation with folding rate and contact order. The assortativity coefficients of short-range interaction networks also show remarkable correlation with folding rate and contact order. Similar correlations exist in protein contact networks of three-state proteins. For two-state proteins, the correlation between contact order and folding rate is determined by the numbers of local contacts. Short-range interactions play a key role in determining the connecting trend among amino acids and they influence directly the folding rate of two-state proteins. For three-state proteins, the folding rate is determined by short-range and long-range interactions among residues together.\",\"PeriodicalId\":415908,\"journal\":{\"name\":\"2008 International Seminar on Future BioMedical Information Engineering\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Seminar on Future BioMedical Information Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FBIE.2008.37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Seminar on Future BioMedical Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FBIE.2008.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

研究远距离和短程相互作用对蛋白质两态和三态折叠动力学的不同影响是一项具有挑战性的任务。利用复杂网络分析方法,在蛋白接触网络、远程相互作用网络和短程相互作用网络三个长度尺度上构建了30个两态蛋白和15个三态蛋白的网络。为了揭示蛋白质的结构性质与折叠动力学之间的关系,分析了蛋白质网络参数与蛋白质折叠速率和拓扑参数接触顺序的相关性。结果表明,蛋白质接触网络和短距离相互作用网络(两态和三态蛋白质)表现出小世界性,而远距离相互作用网络表现出无世界性。我们的研究结果进一步表明,所有的蛋白质接触网络和短程相互作用网络都是分类型的。而一些远程相互作用网络是分类型,其他的是非分类型。对于两态蛋白,近程相互作用网络的聚类系数与折叠速率和接触顺序有显著的相关性。近距离相互作用网络的分类系数也与折叠率和接触顺序呈显著相关。在三态蛋白的蛋白质接触网络中也存在类似的相关性。对于两态蛋白,接触顺序与折叠速率的关系取决于局部接触的数量。短程相互作用在决定氨基酸之间的连接趋势中起着关键作用,并直接影响两态蛋白的折叠速率。对于三态蛋白,折叠速率由残基之间的短程和远程相互作用决定。
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
Network Analysis of Protein Topology and Folding Kinetics
It is a challenging task to investigate the different influence of long-range and short-range interactions on two-state and three-state folding kinetics of protein. The networks of the 30 two-state proteins and 15 three-state proteins are constructed at three length scales: protein contact networks, long-range interaction networks and short-range interaction networks, using complex networks analysis. To uncover the relationship between structural properties and folding kinetics of the proteins, the correlations of protein network parameters with protein folding rate and topology parameters contact order are analyzed. The results show that protein contact networks and short-range interaction networks (for both two-state and three-state proteins) exhibit the dasiasmall-worldpsila property and long-range interaction networks indicate dasiascale-freepsila behavior. Our results further indicate that all protein contact networks and short-range interaction networks are assortative type. While some of long-range interaction networks are of assortative type, the others are of disassortative type. For two-state proteins, the clustering coefficients of short-range interaction networks show prominent correlation with folding rate and contact order. The assortativity coefficients of short-range interaction networks also show remarkable correlation with folding rate and contact order. Similar correlations exist in protein contact networks of three-state proteins. For two-state proteins, the correlation between contact order and folding rate is determined by the numbers of local contacts. Short-range interactions play a key role in determining the connecting trend among amino acids and they influence directly the folding rate of two-state proteins. For three-state proteins, the folding rate is determined by short-range and long-range interactions among residues together.
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
自引率
0.00%
发文量
0
期刊最新文献
Realization and Application Research of BP Neural Network Based on MATLAB Design of Intelligent Guiding Equipment Based on Man-Machine Interaction and Multi-sensor Technique Modeling of the Combustion Optimizing Based on Fuzzy Neural Networks Research of OFDM System for PLC in UCM Based on Precoder Algorithm A New General Binary Image Watermarking in DCT Domain
×
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