ČERVENÝ, Jan, Jakub ŠALAGOVIČ, František MUZIKA, David ŠAFRÁNEK and Igor SCHREIBER. Influence of circadian clocks on optimal regime of central C-N metabolism of cyanobacteria. Online. In Mishra, A. K.; Tiwari, D.; Rai, A. N. Cyanobacteria: From Basic Science to Applications. 1st ed. Neuveden: Academic Press, 2018. p. 193-206. ISBN 978-0-12-814667-5. Available from: https://dx.doi.org/10.1016/B978-0-12-814667-5.00009-X. [citováno 2024-04-24]
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Basic information
Original name Influence of circadian clocks on optimal regime of central C-N metabolism of cyanobacteria
Authors ČERVENÝ, Jan (203 Czech Republic), Jakub ŠALAGOVIČ (703 Slovakia), František MUZIKA, David ŠAFRÁNEK (203 Czech Republic, guarantor, belonging to the institution) and Igor SCHREIBER
Edition 1st ed. Neuveden, Cyanobacteria: From Basic Science to Applications, p. 193-206, 14 pp. 2018.
Publisher Academic Press
Other information
Original language English
Type of outcome Chapter(s) of a specialized book
Field of Study 20900 2.9 Industrial biotechnology
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14330/18:00104828
Organization unit Faculty of Informatics
ISBN 978-0-12-814667-5
Doi http://dx.doi.org/10.1016/B978-0-12-814667-5.00009-X
UT WoS 000509547100010
Keywords in English Computational modeling; Bioreactor; Formal methods; Industry 4.0; Microalgae; Network analysis; Optimization; Process control
Tags topvydavatel
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 16/6/2022 13:23.
Abstract
Mechanistic aspects of cyanobacteria clock and metabolism have been analyzed in considerable detail during recent decades, but only limited knowledge is available about particular link(s) between the clock and controlled metabolic processes. We describe a case study where we couple a mechanistic model of a circadian oscillator with a model of central carbon-nitrogen metabolism and apply formal methods based on temporal logic and bifurcation analysis to examine response of the metabolic part of the combined model to the autonomous clock oscillations. The analysis identified a set of parametric groups that, when applied to the in silico system, lead either to an optimal configuration of metabolic pathways for most efficient rhythmic function of the metabolism or to (oscillatory) system death. Under controlled conditions in monitored environments, such as cultivation in photobioreactors, the knowledge can be used for optimal regulation of production capacity that would reflect dynamic constraints of real world systems.
Links
LM2015055, research and development projectName: Centrum pro systémovou biologii (Acronym: C4SYS)
Investor: Ministry of Education, Youth and Sports of the CR
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