Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses

Ana Teixeira; Carlos Alves; Paula M. Alves; Manuel J.T. Carrondo; Rui Oliveira

doi:10.1109/ICHIS.2005.59

Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses

Ana Teixeira, Carlos Alves, Paula M. Alves, Manuel J.T. Carrondo, Rui Oliveira

Faculdade de Ciências e Tecnologia (FCT)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - HIS 2005
Subtitle of host publication	Fifth International Conference on Hybrid Intelligent Systems
Pages	411-416
Number of pages	6
DOIs	https://doi.org/10.1109/ICHIS.2005.59
Publication status	Published - 1 Dec 2005
Event	HIS 2005: Fifth International Conference on Hybrid Intelligent Systems - Rio de Janiero, Brazil Duration: 6 Nov 2005 → 9 Nov 2005

Publication series

Name	Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems
Volume	2005

Conference

Conference	HIS 2005: Fifth International Conference on Hybrid Intelligent Systems
Country/Territory	Brazil
City	Rio de Janiero
Period	6/11/05 → 9/11/05

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10.1109/ICHIS.2005.59

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Teixeira, A., Alves, C., Alves, P. M., Carrondo, M. J. T., & Oliveira, R. (2005). Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses. In Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems (pp. 411-416). Article 1587782 (Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems; Vol. 2005). https://doi.org/10.1109/ICHIS.2005.59

@inproceedings{8b87e9af9a7d4d4db63808ee09c112f9,

title = "Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses",

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.",

author = "Ana Teixeira and Carlos Alves and Alves, \{Paula M.\} and Carrondo, \{Manuel J.T.\} and Rui Oliveira",

year = "2005",

month = dec,

day = "1",

doi = "10.1109/ICHIS.2005.59",

language = "English",

isbn = "0769524575",

series = "Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems",

pages = "411--416",

booktitle = "Proceedings - HIS 2005",

note = "HIS 2005: Fifth International Conference on Hybrid Intelligent Systems ; Conference date: 06-11-2005 Through 09-11-2005",

}

Teixeira, A , Alves, C , Alves, PM , Carrondo, MJT & Oliveira, R 2005, Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses. in Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems., 1587782, Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems, vol. 2005, pp. 411-416, HIS 2005: Fifth International Conference on Hybrid Intelligent Systems, Rio de Janiero, Brazil, 6/11/05. https://doi.org/10.1109/ICHIS.2005.59

Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses. / Teixeira, Ana ; Alves, Carlos ; Alves, Paula M. et al.
Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems. 2005. p. 411-416 1587782 (Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses

AU - Teixeira, Ana

AU - Alves, Carlos

AU - Alves, Paula M.

AU - Carrondo, Manuel J.T.

AU - Oliveira, Rui

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/33846964187

U2 - 10.1109/ICHIS.2005.59

DO - 10.1109/ICHIS.2005.59

M3 - Conference contribution

AN - SCOPUS:33846964187

SN - 0769524575

SN - 9780769524573

T3 - Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems

SP - 411

EP - 416

BT - Proceedings - HIS 2005

T2 - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems

Y2 - 6 November 2005 through 9 November 2005

ER -

Teixeira A , Alves C , Alves PM , Carrondo MJT , Oliveira R. Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses. In Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems. 2005. p. 411-416. 1587782. (Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems). doi: 10.1109/ICHIS.2005.59

Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses

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