Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2023
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dc.contributor.authorGao, Shang-
dc.contributor.authorChen, Alan-
dc.contributor.authorRahmani, Ali-
dc.contributor.authorZeng, Jia-
dc.contributor.authorTan, Mehmet-
dc.contributor.authorAlhajj, Reda-
dc.contributor.authorRokne, Jon-
dc.contributor.authorDemetrick, Douglas-
dc.contributor.authorWei, Xiaohui-
dc.date.accessioned2019-07-10T14:42:46Z
dc.date.available2019-07-10T14:42:46Z
dc.date.issued2016
dc.identifier.citationGao, S., Chen, A., Rahmani, A., Zeng, J., Tan, M., Alhajj, R., ... & Wei, X. (2016). Multi-scale modularity and motif distributional effect in metabolic networks. Current Protein and Peptide Science, 17(1), 82-92.en_US
dc.identifier.issn1389-2037
dc.identifier.urihttp://www.eurekaselect.com/135160/article-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2023-
dc.description.abstractMetabolism is a set of fundamental processes that play important roles in a plethora of biological and medical contexts. It is understood that the topological information of reconstructed metabolic networks, such as modular organization, has crucial implications on biological functions. Recent interpretations of modularity in network settings provide a view of multiple network partitions induced by different resolution parameters. Here we ask the question: How do multiple network partitions affect the organization of metabolic networks? Since network motifs are often interpreted as the super families of evolved units, we further investigate their impact under multiple network partitions and investigate how the distribution of network motifs influences the organization of metabolic networks. We studied Homo sapiens, Saccharomyces cerevisiae and Escherichia coli metabolic networks; we analyzed the relationship between different community structures and motif distribution patterns. Further, we quantified the degree to which motifs participate in the modular organization of metabolic networks.en_US
dc.description.sponsorshipNational Natural Science Foundation of China (NSFC) [61170004]; Key Science and Technology Research Project of Science and Technology Department of Jilin Province [20140204013GX]
dc.language.isoenen_US
dc.publisherBENTHAM Science Publ. Ltd.en_US
dc.relation.ispartofCurrent Protein and Peptide Scienceen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMetabolic networken_US
dc.subjectnetwork communityen_US
dc.subjectmulti-scale modularityen_US
dc.subjectmotifsen_US
dc.titleMulti-Scale Modularity and Motif Distributional Effect in Metabolic Networksen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume17
dc.identifier.issue1
dc.identifier.startpage82
dc.identifier.endpage92
dc.authorid0000-0002-1741-0570-
dc.identifier.wosWOS:000365803000011en_US
dc.identifier.scopus2-s2.0-84953404943en_US
dc.institutionauthorTan, Mehmet-
dc.identifier.pmid26412791en_US
dc.identifier.doi10.2174/1389203716666150923104603-
dc.authorwosidI-2328-2019-
dc.authorscopusid36984623900-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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