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Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology

The complexity of the regulatory network and the interactions that occur in the intracellular environment of microorganisms highlight the importance in developing tractable mechanistic models of cellular functions and systematic approaches for modelling biological systems. To this end, the existing...

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Detalles Bibliográficos
Autores principales: Koutinas, Michalis, Kiparissides, Alexandros, Pistikopoulos, Efstratios N., Mantalaris, Athanasios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology (RNCSB) Organization 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962201/
https://www.ncbi.nlm.nih.gov/pubmed/24688682
http://dx.doi.org/10.5936/csbj.201210022
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author Koutinas, Michalis
Kiparissides, Alexandros
Pistikopoulos, Efstratios N.
Mantalaris, Athanasios
author_facet Koutinas, Michalis
Kiparissides, Alexandros
Pistikopoulos, Efstratios N.
Mantalaris, Athanasios
author_sort Koutinas, Michalis
collection PubMed
description The complexity of the regulatory network and the interactions that occur in the intracellular environment of microorganisms highlight the importance in developing tractable mechanistic models of cellular functions and systematic approaches for modelling biological systems. To this end, the existing process systems engineering approaches can serve as a vehicle for understanding, integrating and designing biological systems and processes. Here, we review the application of a holistic approach for the development of mathematical models of biological systems, from the initial conception of the model to its final application in model-based control and optimisation. We also discuss the use of mechanistic models that account for gene regulation, in an attempt to advance the empirical expressions traditionally used to describe micro-organism growth kinetics, and we highlight current and future challenges in mathematical biology. The modelling research framework discussed herein could prove beneficial for the design of optimal bioprocesses, employing rational and feasible approaches towards the efficient production of chemicals and pharmaceuticals.
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spelling pubmed-39622012014-03-31 Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology Koutinas, Michalis Kiparissides, Alexandros Pistikopoulos, Efstratios N. Mantalaris, Athanasios Comput Struct Biotechnol J Review Article The complexity of the regulatory network and the interactions that occur in the intracellular environment of microorganisms highlight the importance in developing tractable mechanistic models of cellular functions and systematic approaches for modelling biological systems. To this end, the existing process systems engineering approaches can serve as a vehicle for understanding, integrating and designing biological systems and processes. Here, we review the application of a holistic approach for the development of mathematical models of biological systems, from the initial conception of the model to its final application in model-based control and optimisation. We also discuss the use of mechanistic models that account for gene regulation, in an attempt to advance the empirical expressions traditionally used to describe micro-organism growth kinetics, and we highlight current and future challenges in mathematical biology. The modelling research framework discussed herein could prove beneficial for the design of optimal bioprocesses, employing rational and feasible approaches towards the efficient production of chemicals and pharmaceuticals. Research Network of Computational and Structural Biotechnology (RNCSB) Organization 2013-03-10 /pmc/articles/PMC3962201/ /pubmed/24688682 http://dx.doi.org/10.5936/csbj.201210022 Text en © Koutinas et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited.
spellingShingle Review Article
Koutinas, Michalis
Kiparissides, Alexandros
Pistikopoulos, Efstratios N.
Mantalaris, Athanasios
Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology
title Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology
title_full Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology
title_fullStr Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology
title_full_unstemmed Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology
title_short Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology
title_sort bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962201/
https://www.ncbi.nlm.nih.gov/pubmed/24688682
http://dx.doi.org/10.5936/csbj.201210022
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