The stability of the extended model of hypothalamic-pituitary-adrenal axis examined by stoichiometric network analysis
Samo za registrovane korisnike
2011
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Stoichiometric network analysis (SNA) represents a powerful mathematical tool for stability analysis of complex stoichiometric networks. Recently, the important improvement of the method has been made, according to which instability relations can be entirely expressed via reaction rates, instead of thus far used, in general case undefined, current rates. Such an improved SNA methodology was applied to the determination of exact instability conditions of the extended model of the hypothalamic-pituitary-adrenal (HPA) axis, a neuroendocrinological system, whose hormone concentrations exert complex oscillatory evolution. For emergence of oscillations, the Hopf bifurcation condition was utilized. Instability relations predicted by SNA showed good correlation with numerical simulation data of the HPA axis model.
Ključne reči:
stoichiometric network analysis / hypothalamic-pituitary-adrenal axisIzvor:
Russian Journal of Physical Chemistry A, 2011, 85, 13, 2327-2335Izdavač:
- Maik Nauka/Interperiodica/Springer, New York
Finansiranje / projekti:
- Dinamika nelinearnih fizičkohemijskih i biohemijskih sistema sa modeliranjem i predviđanjem njihovih ponašanja pod neravnotežnim uslovima (RS-172015)
- Nanostrukturni funkcionalni i kompozitni materijali u katalitičkim i sorpcionim procesima (RS-45001)
DOI: 10.1134/S0036024411130115
ISSN: 0036-0244
WoS: 000297922700016
Scopus: 2-s2.0-84963764160
Institucija/grupa
IHTMTY - JOUR AU - Markovic, V. M. AU - Čupić, Željko AU - Ivanović-Šašić, Ana AU - Kolar-Anić, Ljiljana PY - 2011 UR - https://cer.ihtm.bg.ac.rs/handle/123456789/824 AB - Stoichiometric network analysis (SNA) represents a powerful mathematical tool for stability analysis of complex stoichiometric networks. Recently, the important improvement of the method has been made, according to which instability relations can be entirely expressed via reaction rates, instead of thus far used, in general case undefined, current rates. Such an improved SNA methodology was applied to the determination of exact instability conditions of the extended model of the hypothalamic-pituitary-adrenal (HPA) axis, a neuroendocrinological system, whose hormone concentrations exert complex oscillatory evolution. For emergence of oscillations, the Hopf bifurcation condition was utilized. Instability relations predicted by SNA showed good correlation with numerical simulation data of the HPA axis model. PB - Maik Nauka/Interperiodica/Springer, New York T2 - Russian Journal of Physical Chemistry A T1 - The stability of the extended model of hypothalamic-pituitary-adrenal axis examined by stoichiometric network analysis VL - 85 IS - 13 SP - 2327 EP - 2335 DO - 10.1134/S0036024411130115 ER -
@article{ author = "Markovic, V. M. and Čupić, Željko and Ivanović-Šašić, Ana and Kolar-Anić, Ljiljana", year = "2011", abstract = "Stoichiometric network analysis (SNA) represents a powerful mathematical tool for stability analysis of complex stoichiometric networks. Recently, the important improvement of the method has been made, according to which instability relations can be entirely expressed via reaction rates, instead of thus far used, in general case undefined, current rates. Such an improved SNA methodology was applied to the determination of exact instability conditions of the extended model of the hypothalamic-pituitary-adrenal (HPA) axis, a neuroendocrinological system, whose hormone concentrations exert complex oscillatory evolution. For emergence of oscillations, the Hopf bifurcation condition was utilized. Instability relations predicted by SNA showed good correlation with numerical simulation data of the HPA axis model.", publisher = "Maik Nauka/Interperiodica/Springer, New York", journal = "Russian Journal of Physical Chemistry A", title = "The stability of the extended model of hypothalamic-pituitary-adrenal axis examined by stoichiometric network analysis", volume = "85", number = "13", pages = "2327-2335", doi = "10.1134/S0036024411130115" }
Markovic, V. M., Čupić, Ž., Ivanović-Šašić, A.,& Kolar-Anić, L.. (2011). The stability of the extended model of hypothalamic-pituitary-adrenal axis examined by stoichiometric network analysis. in Russian Journal of Physical Chemistry A Maik Nauka/Interperiodica/Springer, New York., 85(13), 2327-2335. https://doi.org/10.1134/S0036024411130115
Markovic VM, Čupić Ž, Ivanović-Šašić A, Kolar-Anić L. The stability of the extended model of hypothalamic-pituitary-adrenal axis examined by stoichiometric network analysis. in Russian Journal of Physical Chemistry A. 2011;85(13):2327-2335. doi:10.1134/S0036024411130115 .
Markovic, V. M., Čupić, Željko, Ivanović-Šašić, Ana, Kolar-Anić, Ljiljana, "The stability of the extended model of hypothalamic-pituitary-adrenal axis examined by stoichiometric network analysis" in Russian Journal of Physical Chemistry A, 85, no. 13 (2011):2327-2335, https://doi.org/10.1134/S0036024411130115 . .