一种从种子中检测蛋白质群落的有效方法

2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology Pub Date : 1900-01-01 DOI:10.1109/CIBCB.2005.1594909

D. Wu, Xiaohua Hu

{"title":"一种从种子中检测蛋白质群落的有效方法","authors":"D. Wu, Xiaohua Hu","doi":"10.1109/CIBCB.2005.1594909","DOIUrl":null,"url":null,"abstract":"Community structure is a topological property common to many networks. We present in this paper an efficient and accurate approach to detecting a community in a protein-protein interaction network from a given seed protein. Our experimental results show strong structural and functional relationships among member proteins within each of the communities identified by our approach, as verified by MIPS complex catalogue database and annotations.","PeriodicalId":330810,"journal":{"name":"2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"An Efficient Approach to Detect a Protein Community from a Seed\",\"authors\":\"D. Wu, Xiaohua Hu\",\"doi\":\"10.1109/CIBCB.2005.1594909\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Community structure is a topological property common to many networks. We present in this paper an efficient and accurate approach to detecting a community in a protein-protein interaction network from a given seed protein. Our experimental results show strong structural and functional relationships among member proteins within each of the communities identified by our approach, as verified by MIPS complex catalogue database and annotations.\",\"PeriodicalId\":330810,\"journal\":{\"name\":\"2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIBCB.2005.1594909\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIBCB.2005.1594909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 24

摘要

社团结构是许多网络共有的拓扑特性。本文提出了一种有效而准确的方法，从给定的种子蛋白中检测蛋白质-蛋白质相互作用网络中的群落。我们的实验结果表明，通过我们的方法确定的每个群落内的成员蛋白之间存在很强的结构和功能关系，并通过MIPS复杂目录数据库和注释进行了验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

An Efficient Approach to Detect a Protein Community from a Seed

Community structure is a topological property common to many networks. We present in this paper an efficient and accurate approach to detecting a community in a protein-protein interaction network from a given seed protein. Our experimental results show strong structural and functional relationships among member proteins within each of the communities identified by our approach, as verified by MIPS complex catalogue database and annotations.

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

2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology

自引率

0.00%

发文量