Hybrid Modeling of Metabolic-Regulatory Networks (Extended Abstract)

被引:0
作者
Liu, Lin [1 ]
Bockmayr, Alexander [1 ]
机构
[1] Free Univ Berlin, Dept Math & Comp Sci, Arnimallee 6, D-14195 Berlin, Germany
来源
HYBRID SYSTEMS BIOLOGY (HSB 2019) | 2019年 / 11705卷
关键词
Computational modeling; Metabolism; Resource allocation; Gene regulation; Hybrid system; OPTIMIZATION;
D O I
10.1007/978-3-030-28042-0_12
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Computational approaches in systems biology have become a powerful tool for understanding the fundamental mechanisms of cellular metabolism and regulation. However, the interplay between the regulatory and the metabolic system is still poorly understood. In particular, there is a need for formal mathematical frameworks that allow analyzing metabolism together with dynamic enzyme resources and regulatory events. Here, we introduce a metabolic-regulatory network model (MRN) that allows integrating metabolism with transcriptional regulation, macromolecule production and enzyme resources. Using this model, we show that the dynamic interplay between these different cellular processes can be formalized by a hybrid system, combining continuous dynamics and discrete control.
引用
收藏
页码:177 / 180
页数:4
相关论文
共 50 条
  • [1] Formalizing Metabolic-Regulatory Networks by Hybrid Automata
    Liu, Lin
    Bockmayr, Alexander
    ACTA BIOTHEORETICA, 2020, 68 (01) : 73 - 85
  • [2] Formalizing Metabolic-Regulatory Networks by Hybrid Automata
    Lin Liu
    Alexander Bockmayr
    Acta Biotheoretica, 2020, 68 : 73 - 85
  • [3] Flexible Bandwidth Assignment with Application to Optical Networks (Extended Abstract)
    Shachnai, Hadas
    Voloshin, Ariella
    Zaks, Shmuel
    MATHEMATICAL FOUNDATIONS OF COMPUTER SCIENCE, PT II, 2014, 8635 : 613 - 624
  • [4] Learning non-convex abstract concepts with regulated activation networks A hybrid and evolving computational modeling approach
    Sharma, Rahul
    Ribeiro, Bernardete
    Pinto, Alexandre Miguel
    Cardoso, F. Amilcar
    ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 2020, 88 (11-12) : 1207 - 1235
  • [5] Gene regulatory network inference with extended scores for Bayesian networks
    Vandel, Jimmy
    Mangin, Brigitte
    Vignes, Matthieu
    Leroux, Damien
    Loudet, Olivier
    Martin-Magniette, Marie-Laure
    De Givry, Simon
    Revue d'Intelligence Artificielle, 2012, 26 (06) : 679 - 708
  • [6] Reachability Analysis of a Class of Hybrid Gene Regulatory Networks
    Sun, Honglu
    Folschette, Maxime
    Magnin, Morgan
    REACHABILITY PROBLEMS, RP 2023, 2023, 14235 : 56 - 69
  • [7] MicroRNAs and oncogenic transcriptional regulatory networks controlling metabolic reprogramming in cancers
    Pinweha, Pannapa
    Rattanapornsompong, Khanti
    Charoensawan, Varodom
    Jitrapakdee, Sarawut
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2016, 14 : 223 - 233
  • [8] Basic concepts and principles of stoichiometric modeling of metabolic networks
    Maarleveld, Timo R.
    Khandelwal, Ruchir A.
    Olivier, Brett G.
    Teusink, Bas
    Bruggeman, Frank J.
    BIOTECHNOLOGY JOURNAL, 2013, 8 (09) : 997 - U52
  • [9] Computational Methodologies for Analyzing, Modeling and Controlling Gene Regulatory Networks
    Zamani, Zahra
    Hajihosseini, Amirhossein
    Masoudi-Nejad, Ali
    BIOMEDICAL ENGINEERING AND COMPUTATIONAL BIOLOGY, 2010, 2 : 47 - 62
  • [10] Modeling gene regulatory networks with piecewise linear differential equations
    Gebert, J.
    Radde, N.
    Weber, G.-W.
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 181 (03) : 1148 - 1165