Hybrid semi-parametric mathematical systems: bridging the gap between systems biology and process engineering.
Systems biology is an integrative science that aims at the global characterization of biological systems. Huge amounts of data regarding gene expression, proteins activity and metabolite concentrations are collected by designing systematic genetic or environmental perturbations. Then the challenge is to integrate such data in a global model in order to provide a global picture of the cell. The analysis of these data is largely dominated by nonparametric modelling tools. In contrast, classical bioprocess engineering has been primarily founded on first principles models, but it has systematically overlooked the details of the embedded biological system. The full complexity of biological systems is currently assumed by systems biology and this knowledge can now be taken by engineers to decide how to optimally design and operate their processes. This paper discusses possible methodologies for the integration of systems biology and bioprocess engineering with emphasis on applications involving animal cell cultures. At the mathematical systems level, the discussion is focused on hybrid semi-parametric systems as a way to bridge systems biology and bioprocess engineering.
Teixeira
Ana P
AP
IBET/ITQB, Instituto de Biologia Experimental e Tecnológica/Instituto de Tecnologia Química e Biológica, Apartado 12, 2781-901 Oeiras, Portugal.
Carinhas
Nuno
N
Dias
João M L
JM
Cruz
Pedro
P
Alves
Paula M
PM
Carrondo
Manuel J T
MJ
Oliveira
Rui
R
D001669:Biochemical Phenomena; D001671:Biochemistry; D001698:Biomedical Engineering; D032701:Biomimetics; D002616:Chemical Engineering; D008954:Models, Biological; D049490:Systems Biology / Q000379:methods / Q000706:statistics & numerical data*