Coherent coupling of feedback loops: a design principle of cell signaling networks

Cited 48 time in webofscience Cited 0 time in scopus
  • Hit : 353
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorKwon, Yung-Keunko
dc.contributor.authorCho, Kwang-Hyunko
dc.date.accessioned2013-03-07T07:13:53Z-
dc.date.available2013-03-07T07:13:53Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2008-09-
dc.identifier.citationBIOINFORMATICS (Faculty of 1000 Biology에 선정), v.24, no.17, pp.1926 - 1932-
dc.identifier.issn1367-4803-
dc.identifier.urihttp://hdl.handle.net/10203/89669-
dc.description.abstractMotivation:It is widely accepted that cell signaling networks have been evolved to be robust against perturbations. To investigate the topological characteristics resulting in such robustness, we have examined large-scale signaling networks and found that a number of feedback loops are present mostly in coupled structures. In particular, the coupling was made in a coherent way implying that same types of feedback loops are interlinked together. Results: We have investigated the role of such coherently coupled feedback loops through extensive Boolean network simulations and found that a high proportion of coherent couplings can enhance the robustness of a network against its state perturbations. Moreover, we found that the robustness achieved by coherently coupled feedback loops can be kept evolutionarily stable. All these results imply that the coherent coupling of feedback loops might be a design principle of cell signaling networks devised to achieve the robustness.-
dc.languageEnglish-
dc.publisherOXFORD UNIV PRESS-
dc.subjectBACTERIAL CHEMOTAXIS-
dc.subjectBIOLOGICAL NETWORKS-
dc.subjectROBUSTNESS-
dc.subjectEVOLUTION-
dc.subjectHYSTERESIS-
dc.subjectDYNAMICS-
dc.subjectPOLARITY-
dc.subjectMODELS-
dc.subjectSYSTEM-
dc.titleCoherent coupling of feedback loops: a design principle of cell signaling networks-
dc.typeArticle-
dc.identifier.wosid000258860700014-
dc.identifier.scopusid2-s2.0-50549104276-
dc.type.rimsART-
dc.citation.volume24-
dc.citation.issue17-
dc.citation.beginningpage1926-
dc.citation.endingpage1932-
dc.citation.publicationnameBIOINFORMATICS (Faculty of 1000 Biology에 선정)-
dc.identifier.doi10.1093/bioinformatics/btn337-
dc.contributor.localauthorCho, Kwang-Hyun-
dc.contributor.nonIdAuthorKwon, Yung-Keun-
dc.type.journalArticleArticle-
dc.subject.keywordPlusBACTERIAL CHEMOTAXIS-
dc.subject.keywordPlusBIOLOGICAL NETWORKS-
dc.subject.keywordPlusROBUSTNESS-
dc.subject.keywordPlusEVOLUTION-
dc.subject.keywordPlusHYSTERESIS-
dc.subject.keywordPlusDYNAMICS-
dc.subject.keywordPlusPOLARITY-
dc.subject.keywordPlusMODELS-
dc.subject.keywordPlusSYSTEM-
Appears in Collection
BiS-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 48 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0