Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/3722
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dc.contributor.authorKoutinas, Michalisen,el
dc.contributor.authorKiparissides, Alexandros
dc.contributor.authorPistikopoulos, Efstratios N.
dc.contributor.authorMantalaris, Athanasios
dc.contributor.otherΚουτίνας, Μιχάλης
dc.date2012en,el
dc.date.accessioned2014-07-09T07:21:03Z
dc.date.accessioned2015-12-08T07:52:54Z-
dc.date.available2014-07-09T07:21:03Z
dc.date.available2015-12-08T07:52:54Z-
dc.date.issued2012
dc.identifier20010370en,el
dc.identifier.citationComputational and Structural Biotechnology Journal Volume: 3 Issue: 4 Pages: -en,el
dc.identifier.urihttp://ktisis.cut.ac.cy/handle/10488/3722
dc.identifier.urihttp://hdl.handle.net/10488/3722-
dc.description.abstractThe 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. 2012 Bernstein and Carlson.en,el
dc.languageEnglishen,el
dc.publisherResearch Network of Computational and Structural Biotechnologyen,el
dc.rights© 2012 Bernstein and Carlson
dc.subjectBiological systems model development
dc.subjectGenetic circuit
dc.subjectMechanistic model
dc.subjectMetabolic engineering
dc.subjectModel analysis
dc.subjectSensitivity analysis
dc.subject.classificationMechanical Engineering
dc.titleBioprocess systems engineering: Transferring traditional process engineering principles to industrial biotechnologyen,el
dc.typeArticleen,el
dc.collaborationCyprus University of Technology
dc.subject.categoryEngineering and Technology
dc.journalsSubscriptionen,el
dc.reviewPEER-REVIEWED
dc.countryCyprus
dc.countryUnited Kingdom
dc.identifier.doi10.5936/csbj.201210022en,el
dc.identifier.pmid24688682-
dc.dept.handle123456789/77en
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