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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology (RNCSB) Organization
2013
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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. |
format | Online Article Text |
id | pubmed-3962201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Research Network of Computational and Structural Biotechnology (RNCSB) Organization |
record_format | MEDLINE/PubMed |
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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