Journal
JOURNAL OF THE ROYAL SOCIETY INTERFACE
Volume 17, Issue 169, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsif.2020.0341
Keywords
systems biology; modelling formalisms; stoichiometric models; kinetic models; flexible nets
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Funding
- Spanish Ministry of Science, Innovation and Universities [Medrese-RTI2018-098543-B-I00]
- Biotechnology & Biological Sciences Research Council (UK), IBiotech Program [BB/N02348X/1]
- Industrial Biotechnology Catalyst (Innovate UK)
- Industrial Biotechnology Catalyst (BBSRC)
- Industrial Biotechnology Catalyst (EPSRC)
- BBSRC [BB/N02348X/1] Funding Source: UKRI
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Current 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.
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