{"title":"蛋白质相互作用网络中嵌套复合物的表征","authors":"N. Zaki, Antonio Mora","doi":"10.1109/MCSI.2014.17","DOIUrl":null,"url":null,"abstract":"This paper provides a novel characterization of nested complexes in protein interaction networks, stressing definition and representation issues, quantification, biological validation, network metrics, motifs, modularity and gene ontology (GO) terms. This characterization can be used in the design of a nested protein complex prediction algorithm. We introduce the \"nested group\" concept as a way to represent nested complexes. We also show that enrichment in essential proteins, GO terms related to regulation, imperfect 5-clique motifs, as well as higher GO homogeneity, can be used to identify proteins in nested complexes. Supplementary materials, data and programs are available at http://faculty.uaeu.ac.ae/nzaki/Research.htm.","PeriodicalId":202841,"journal":{"name":"2014 International Conference on Mathematics and Computers in Sciences and in Industry","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterization of Nested Complexes in Protein Interaction Networks\",\"authors\":\"N. Zaki, Antonio Mora\",\"doi\":\"10.1109/MCSI.2014.17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides a novel characterization of nested complexes in protein interaction networks, stressing definition and representation issues, quantification, biological validation, network metrics, motifs, modularity and gene ontology (GO) terms. This characterization can be used in the design of a nested protein complex prediction algorithm. We introduce the \\\"nested group\\\" concept as a way to represent nested complexes. We also show that enrichment in essential proteins, GO terms related to regulation, imperfect 5-clique motifs, as well as higher GO homogeneity, can be used to identify proteins in nested complexes. Supplementary materials, data and programs are available at http://faculty.uaeu.ac.ae/nzaki/Research.htm.\",\"PeriodicalId\":202841,\"journal\":{\"name\":\"2014 International Conference on Mathematics and Computers in Sciences and in Industry\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Mathematics and Computers in Sciences and in Industry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCSI.2014.17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Mathematics and Computers in Sciences and in Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCSI.2014.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Characterization of Nested Complexes in Protein Interaction Networks
This paper provides a novel characterization of nested complexes in protein interaction networks, stressing definition and representation issues, quantification, biological validation, network metrics, motifs, modularity and gene ontology (GO) terms. This characterization can be used in the design of a nested protein complex prediction algorithm. We introduce the "nested group" concept as a way to represent nested complexes. We also show that enrichment in essential proteins, GO terms related to regulation, imperfect 5-clique motifs, as well as higher GO homogeneity, can be used to identify proteins in nested complexes. Supplementary materials, data and programs are available at http://faculty.uaeu.ac.ae/nzaki/Research.htm.