Foundations of metabolic organization: coherence as a basis of computational properties in metabolic networks

被引:24
|
作者
Igamberdiev, AU [1 ]
机构
[1] Voronezh State Univ, Dept Plant Pathol & Biochem, Voronezh 394693, Russia
关键词
coherence; computation; futile cycle; information transfer; metabolic network; morphogenesis; non-locality; switching;
D O I
10.1016/S0303-2647(98)00084-7
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Biological organization is based on the coherent energy transfer allowing for macromolecules to operate with high efficiency and realize computation. Computation is executed with virtually 100% efficiency via the coherent operation of molecular machines in which low-energy recognitions trigger energy-driven non-equilibrium dynamic processes. The recognition process is of quantum mechanical nature being a non-demolition measurement. II underlies the enzymatic conversion of a substrate into the product tan elementary metabolic phenomenon); the switching via separation of the direct and reverse routes in futile cycles provides the generation and complication of metabolic networks (coherence within cycles is maintained by the supramolecular organization of enzymes); the genetic level corresponding to the appearance of digital information is based on reflective arrows (catalysts realize their own self-reproduction) and operation of hypercycles. Every metabolic cycle via reciprocal regulation of both its halves can generate rhythms and spatial structures (resulting from the temporally organized depositions from the cycles). Via coherent events which percolate from the elementary submolecular level to organismic entities, self-assembly based on the molecular complementarity is realized and the dynamic informational field operating within the metabolic network is generated. (C) 1999 Elsevier Science Ireland Ltd. All rights reserved.
引用
收藏
页码:1 / 16
页数:16
相关论文
共 50 条
  • [41] Motif search in graphs: Application to metabolic networks
    Lacroix, Vincent
    Fernandes, Cristina G.
    Sagot, Marie-France
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2006, 3 (04) : 360 - 368
  • [42] Modular co-evolution of metabolic networks
    Jing Zhao
    Guo-Hui Ding
    Lin Tao
    Hong Yu
    Zhong-Hao Yu
    Jian-Hua Luo
    Zhi-Wei Cao
    Yi-Xue Li
    BMC Bioinformatics, 8
  • [43] Abundant Indispensable Redundancies in Cellular Metabolic Networks
    Wang, Zhi
    Zhang, Jianzhi
    GENOME BIOLOGY AND EVOLUTION, 2009, 1 : 23 - 33
  • [44] Inferring meaningful pathways in weighted metabolic networks
    Croes, D
    Couche, F
    Wodak, SJ
    van Helden, J
    JOURNAL OF MOLECULAR BIOLOGY, 2006, 356 (01) : 222 - 236
  • [45] SNA – a toolbox for the stoichiometric analysis of metabolic networks
    Robert Urbanczik
    BMC Bioinformatics, 7
  • [46] Evolutionary constraints permeate large metabolic networks
    Andreas Wagner
    BMC Evolutionary Biology, 9
  • [47] Multi-equilibrium property of metabolic networks: Exclusion of multi-stability for SSN metabolic modules
    Lei, Hong-Bo
    Zhang, Ji-Feng
    Chen, Luonan
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2011, 21 (15) : 1791 - 1806
  • [48] Comparison of different approaches for identifying subnetworks in metabolic networks
    Rezvan, Abolfazl
    Eslahchi, Changiz
    JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 2017, 15 (06)
  • [49] Reconstruction and Analysis of Metabolic Networks of Six Industrial Microorganisms
    Yang, Xuelian
    Wang, Chengtao
    Sun, Baoguo
    Yan, Ming
    ISBE 2011: 2011 INTERNATIONAL CONFERENCE ON BIOMEDICINE AND ENGINEERING, VOL 4, 2011, : 347 - 351
  • [50] Path finding methods accounting for stoichiometry in metabolic networks
    Jon Pey
    Joaquín Prada
    John E Beasley
    Francisco J Planes
    Genome Biology, 12