Basic concepts and principles of stoichiometric modeling of metabolic networks

被引:44
作者
Maarleveld, Timo R. [1 ,2 ,3 ]
Khandelwal, Ruchir A. [2 ]
Olivier, Brett G. [2 ]
Teusink, Bas [2 ,4 ]
Bruggeman, Frank J. [2 ,4 ]
机构
[1] Ctr Math & Comp Sci, Amsterdam, Netherlands
[2] Vrije Univ Amsterdam, Amsterdam Inst Mol Med & Syst, Amsterdam, Netherlands
[3] BioSolar Cells, Wageningen, Netherlands
[4] Kluyver Ctr Genom Ind Fermentat NCSB, Delft, Netherlands
关键词
Constraint-based modeling; Flux balance analysis; Flux modes; Metabolism; Optimal solution space; FLUX BALANCE ANALYSIS; EXTREME PATHWAY ANALYSIS; GENOME-SCALE MODELS; ESCHERICHIA-COLI; BIOCHEMICAL NETWORKS; LACTOBACILLUS-PLANTARUM; OPTIMAL-GROWTH; RECONSTRUCTIONS; CONSTRAINTS; DEFINITION;
D O I
10.1002/biot.201200291
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Metabolic networks supply the energy and building blocks for cell growth and maintenance. Cells continuously rewire their metabolic networks in response to changes in environmental conditions to sustain fitness. Studies of the systemic properties of metabolic networks give insight into metabolic plasticity and robustness, and the ability of organisms to cope with different environments. Constraint-based stoichiometric modeling of metabolic networks has become an indispensable tool for such studies. Herein, we review the basic theoretical underpinnings of constraint-based stoichiometric modeling of metabolic networks. Basic concepts, such as stoichiometry, chemical moiety conservation, flux modes, flux balance analysis, and flux solution spaces, are explained with simple, illustrative examples. We emphasize the mathematical definitions and their network topological interpretations.
引用
收藏
页码:997 / U52
页数:13
相关论文
共 42 条
  • [1] Intracellular crowding defines the mode and sequence of substrate uptake by Escherichia coli and constrains its metabolic activity
    Beg, Q. K.
    Vazquez, A.
    Ernst, J.
    de Menezes, M. A.
    Bar-Joseph, Z.
    Barabasi, A.-L.
    Oltvai, Z. N.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (31) : 12663 - 12668
  • [2] Flux coupling analysis of genome-scale metabolic network reconstructions
    Burgard, AP
    Nikolaev, EV
    Schilling, CH
    Maranas, CD
    [J]. GENOME RESEARCH, 2004, 14 (02) : 301 - 312
  • [3] Cornish-Bowden A., 1995, Fundamentals of Enzyme Kinetics
  • [4] Towards metagenome-scale models for industrial applications - the case of Lactic Acid Bacteria
    dos Santos, Filipe Branco
    de Vos, Willem M.
    Teusink, Bas
    [J]. CURRENT OPINION IN BIOTECHNOLOGY, 2013, 24 (02) : 200 - 206
  • [5] The convex basis of the left null space of the stoichiometric matrix leads to the definition of metabolically meaningful pools
    Famili, I
    Palsson, BO
    [J]. BIOPHYSICAL JOURNAL, 2003, 85 (01) : 16 - 26
  • [6] The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli
    Feist, Adam M.
    Palsson, Bernhard O.
    [J]. NATURE BIOTECHNOLOGY, 2008, 26 (06) : 659 - 667
  • [7] Reconstruction of biochemical networks in microorganisms
    Feist, Adam M.
    Herrgard, Markus J.
    Thiele, Ines
    Reed, Jennie L.
    Palsson, Bernhard O.
    [J]. NATURE REVIEWS MICROBIOLOGY, 2009, 7 (02) : 129 - 143
  • [8] FAT SYNTHESIS IN ADIPOSE-TISSUE - AN EXAMINATION OF STOICHIOMETRIC CONSTRAINTS
    FELL, DA
    SMALL, JR
    [J]. BIOCHEMICAL JOURNAL, 1986, 238 (03) : 781 - 786
  • [9] Understanding the physiology of Lactobacillus plantarum at zero growth
    Goffin, Philippe
    van de Bunt, Bert
    Giovane, Marco
    Leveau, Johan H. J.
    Hoppener-Ogawa, Sachie
    Teusink, Bas
    Hugenholtz, Jeroen
    [J]. MOLECULAR SYSTEMS BIOLOGY, 2010, 6
  • [10] Grotschel M., 1988, GEOMETRIC ALGORITHMS