Mathematical Models for Systems Biology and How to Construct Them

Mathematical Models for Systems Biology and How to Construct Them

from Chris P. Barnes, Maxime Huvet, Nathan Harmston and Michael P.H. Stumpf writing in Systems Microbiology: Current Topics and Applications:

Modelling methodologies in the life- and biomedical sciences are hampered by the complexity of the processes and systems at work. Modelling studies into prokaryotic systems require the elucidation of the mechanistic model. In this chapter we introduction modelling methodologies and discuss the problem of model (and parameter) inference. We comment on state-of-the-art research questions and provide a general discussion on how models can and should be used in order to better understand the structure, function and dynamics of biological systems. The aim is not to provide an introduction to modelling per se, but to provide readers with an overview on the available methodologies. The modelling approach chosen depends on the biological question at hand as well as a range of social factors.

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