000147753 001__ 147753
000147753 005__ 20250103153613.0
000147753 0247_ $$2doi$$a10.1098/rsif.2020.0341
000147753 0248_ $$2sideral$$a119583
000147753 037__ $$aART-2020-119583
000147753 041__ $$aeng
000147753 100__ $$0(orcid)0000-0002-7093-228X$$aJúlvez, J.$$uUniversidad de Zaragoza
000147753 245__ $$aA unifying modelling formalism for the integration of stoichiometric and kinetic models
000147753 260__ $$c2020
000147753 5060_ $$aAccess copy available to the general public$$fUnrestricted
000147753 5203_ $$aCurrent research on systems and synthetic biology relies heavily on mathematical models of the systems under study. The usefulness of such models depends on the quantity and quality of biological data, and on the availability of appropriate modelling formalisms that can gather and accommodate such data so that they can be exploited properly. Given our incomplete knowledge of biological systems and the fact that they consist of many subsystems, biological data are usually uncertain and heterogeneous. These facts hinder the use of mathematical models and computational methods. In the scope of dynamic biological systems, e.g. metabolic networks, this difficulty can be overcome by the novel modelling formalism of flexible nets (FNs). We show that an FN can combine, in a natural way, a stoichiometric model and a kinetic model. Moreover, the resulting net admits nonlinear dynamics and can be analysed in both transient and steady states.
000147753 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000147753 590__ $$a4.118$$b2020
000147753 591__ $$aMULTIDISCIPLINARY SCIENCES$$b18 / 71 = 0.254$$c2020$$dQ2$$eT1
000147753 592__ $$a1.655$$b2020
000147753 593__ $$aBiochemistry$$c2020$$dQ1
000147753 593__ $$aBioengineering$$c2020$$dQ1
000147753 593__ $$aBiotechnology$$c2020$$dQ1
000147753 593__ $$aBiomedical Engineering$$c2020$$dQ1
000147753 593__ $$aBiophysics$$c2020$$dQ1
000147753 593__ $$aBiomaterials$$c2020$$dQ1
000147753 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000147753 700__ $$aOliver, S.G.
000147753 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000147753 773__ $$g17, 169 (2020), 20200341$$pJ. R. Soc. Interface$$tJournal of the Royal Society Interface$$x1742-5689
000147753 8564_ $$s505320$$uhttps://zaguan.unizar.es/record/147753/files/texto_completo.pdf$$yPostprint
000147753 8564_ $$s2544333$$uhttps://zaguan.unizar.es/record/147753/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000147753 909CO $$ooai:zaguan.unizar.es:147753$$particulos$$pdriver
000147753 951__ $$a2025-01-03-13:20:48
000147753 980__ $$aARTICLE