Twelve quick tips for designing sound dynamical models for bioprocesses

Because of the inherent complexity of bioprocesses, mathematical models are more and more used for process design, control, optimization, etc. These models are generally based on a set of biochemical reactions. Model equations are then derived from mass balance, coupled with empirical kinetics. Biol...

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Bibliographic Details
Published in:PLoS computational biology Vol. 15; no. 8; p. e1007222
Main Authors: Mairet, Francis, Bernard, Olivier
Format: Journal Article
Language:English
Published: United States Public Library of Science 22.08.2019
PLOS
Public Library of Science (PLoS)
Subjects:
Algae
Algorithms
Automatic Control Engineering
Biochemistry
Bioengineering
Biological models (mathematics)
Biological Phenomena
Biology
Biology and Life Sciences
Biophysical Phenomena
Biotechnology
Calibration
Complexity
Computational Biology
Computer and Information Sciences
Computer Science
Computer Simulation
Design optimization
Education
Empirical equations
Growth models
Kinetics
Mass balance
Mathematical Concepts
Mathematical models
Metabolism
Metabolites
Methods
Models, Biological
Nonlinear Dynamics
Objectives
Optimization
Parameter identification
Physical Sciences
Plankton
Reaction kinetics
Reengineering (Management)
Research and analysis methods
Temperature effects
France
ISSN:1553-7358, 1553-734X, 1553-7358
Online Access:Get full text
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Description
Summary:Because of the inherent complexity of bioprocesses, mathematical models are more and more used for process design, control, optimization, etc. These models are generally based on a set of biochemical reactions. Model equations are then derived from mass balance, coupled with empirical kinetics. Biological models are nonlinear and represent processes, which by essence are dynamic and adaptive. The temptation to embed most of the biology is high, with the risk that calibration would not be significant anymore. The most important task for a modeler is thus to ensure a balance between model complexity and ease of use. Since a model should be tailored to the objectives, which will depend on applications and environment, a universal model representing any possible situation is probably not the best option.
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The authors have declared that no competing interests exist.
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1007222