Title :
Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses
Author :
Teixeira, Ana ; Alves, Carlos ; Alves, Paula M. ; Carrondo, Manuel J T ; Oliveira, Rui
Author_Institution :
Faculdade de Ciencias e Tecnologia, Univ. Nova de Lisboa, Caparica, Portugal
Abstract :
The main aim of this study is to develop a bioprocess dynamic optimisation method that integrates bioreactor transport phenomena, with metabolic flux analysis (MFA). The central metabolic pathways of many biological systems with industrial interest are currently known. Bioreactor dynamic optimisation schemes could profit from the incorporation of this knowledge. A hybrid modelling methodology is presented that integrates the aforementioned concepts. The technique was successfully validated with data of a recombinant Baby Hamster Kidney (BHK-21) culture. The method allowed to identify the time evolution of intracellular metabolic fluxes and to relate this knowledge with bioreactor decision variables.
Keywords :
biology computing; cellular biophysics; neural nets; physiological models; transport processes; biological systems; bioprocess dynamic optimisation; bioreactor decision variables; bioreactor transport phenomena; intracellular metabolic fluxes; metabolic flux analysis; metabolic flux analysis/artificial neural network bioprocess modeling; metabolic pathways; recombinant Baby Hamster Kidney culture; time evolution; Amino acids; Artificial neural networks; Biochemistry; Biological system modeling; Biological systems; Bioreactors; Mathematical model; Optimization methods; Power system modeling; Sugar;
Conference_Titel :
Hybrid Intelligent Systems, 2005. HIS '05. Fifth International Conference on
Print_ISBN :
0-7695-2457-5
DOI :
10.1109/ICHIS.2005.59
