Detailed Information on Publication Record
2018
Influence of circadian clocks on optimal regime of central C-N metabolism of cyanobacteria
ČERVENÝ, Jan, Jakub ŠALAGOVIČ, František MUZIKA, David ŠAFRÁNEK, Igor SCHREIBER et. al.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
Language
English
Type of outcome
Kapitola resp. kapitoly v odborné knize
Field of Study
20900 2.9 Industrial biotechnology
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/18:00104828
Organization unit
Faculty of Informatics
ISBN
978-0-12-814667-5
UT WoS
000509547100010
Keywords in English
Computational modeling; Bioreactor; Formal methods; Industry 4.0; Microalgae; Network analysis; Optimization; Process control
Tags
Tags
International impact, Reviewed
Změněno: 16/6/2022 13:23, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
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 project |
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