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Hybrid semi-parametric mathematical systems: Bridging the gap between systems biology and process engineering

Paper ID Volume ID Publish Year Pages File Format Full-Text
25015 43552 2007 8 PDF Available
Title
Hybrid semi-parametric mathematical systems: Bridging the gap between systems biology and process engineering
Abstract

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.

Keywords
Systems biology; Hybrid semi-parametric models; Process engineering
First Page Preview
Hybrid semi-parametric mathematical systems: Bridging the gap between systems biology and process engineering
Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Biotechnology - Volume 132, Issue 4, 1 December 2007, Pages 418–425
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering