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dc.creatorJelić, S.
dc.creatorČupić, Željko
dc.creatorKolar-Anić, Ljiljana
dc.creatorVukojević, V.
dc.date.accessioned2019-01-30T17:22:14Z
dc.date.available2019-01-30T17:22:14Z
dc.date.issued2009
dc.identifier.issn1565-1339
dc.identifier.urihttp://cer.ihtm.bg.ac.rs/handle/123456789/626
dc.description.abstractTwo methods for dynamic systems analysis, Stoichiometric Network Analysis (SNA) and Quenching of Small Amplitude Oscillations (QA), are used to study the behaviour of a vital biological system. Both methods use geometric approaches for the study of complex reaction systems. In SNA, methods based on convex polytopes geometry are applied for stability analysis and optimization of reaction networks. QA relies on a geometric representation of the concentration phase space, introduces the concept of manifolds and the singular perturbation theory to study the dynamics of complex processes. The analyzed system, the Hypothalamic-Pituitary-Adrenal (HPA) axis, as a major constituent of the neuroendocrine system has a critical role in integrating biological responses in basal conditions and during stress. Self-regulation in the HPA system was modeled through a positive and negative feedback effect of Cortisol. A systematically reduced low-dimensional model of HPA activity in humans was fine-tuned by SNA, until quantitative agreement with experimental findings was achieved. By QA, we revealed an important dynamic regulatory mechanism that is a natural consequence of the intrinsic rhythmicity of the considered system.en
dc.relationinfo:eu-repo/grantAgreement/MESTD/MPN2006-2010/142019/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/MPN2006-2010/142025/RS//
dc.rightsrestrictedAccess
dc.sourceInternational Journal of Nonlinear Sciences and Numerical Simulation
dc.subjectHypothalamic-pituitary-adrenal (hpa) systemen
dc.subjectModeling biochemical networksen
dc.subjectNonlinear dynamicsen
dc.subjectQuenching small amplitude oscillationsen
dc.subjectStoichiometric network analysis (sna)en
dc.subjectStressen
dc.subjectSystems biologyen
dc.titlePredictive modeling of the hypothalamic-pituitary-adrenal (HPA) function. dynamic systems theory approach by stoichiometric network analysis and quenching small amplitude oscillationsen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractВукојевић, В.; Колар-Aнић, Л.; Чупић, Жељко; Јелић, С.;
dc.citation.volume10
dc.citation.issue11-12
dc.citation.spage1451
dc.citation.epage1472
dc.citation.other10(11-12): 1451-1472
dc.citation.rankaM21
dc.identifier.rcubConv_4237
dc.identifier.scopus2-s2.0-77950408700
dc.type.versionpublishedVersion


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