Modelling in Molecular BiologyGabriel Ciobanu, Grzegorz Rozenberg Springer Science & Business Media, 2 juil. 2004 - 305 pages This volume is based on the workshop“Modelling in Molecular Biology” that tookplacein2002inSingapore. Themaingoaloftheworkshopwastopresent models/methods used in solving some fundamental problems in biosciences. The volume consists of a selection of papers presented at the workshop as well as of some other papers that are included so that the presentation of the theme of the workshop is broader and more balanced. As a matter of fact we feel that the collection of papers comprising this volume represents a wide spectrum of quite diverse ideas and trends. The paper by D. A. Beard et al. explores the common thesis that und- standingthebehaviouroflargeinteractingsystemsofmanyenzymesandre- tants underlies the modelling and simulation of whole-cell systems. Moreover, the models need to represent the basic stoichiometry, with balanced che- cal reactions and the conservation of mass, energy and charge. The authors discuss the stoichiometric and then kinetic details of approaches to modelling and simulation of biochemical systems. P. R. A. Campos et al. are concerned with models of evolution and adaptation (which is essential for precise - derstanding of molecular phylogeny). In particular, their paper is concerned with the rate of adaptation of asexual organisms(which is important because it in?uences the speed of the assumed molecular clock). It is known that for such organisms the rate of adaptation does not steadily increase with the - creasing rate of advantageous mutations, and this paper studies the mutual interference of two advantageous mutants that are each initially present in only a single organism. |
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Expressions et termes fréquents
abstraction algorithm analysis antigens antiport approach automata behaviour binding biomolecular systems BioSpi bisimulation branch catalytic cycle catalyzed cell cellular communication complex Computer Science concentration corresponding defined denoted described distribution DNA computing domain family duplication dynamics EIIAgle entities enzyme equations evolution example experimental fate flux function gene assembly genetic genome genotype Glcout global glucokinase Glucose glycogen graph immune system interaction Kinase kinetic model KNAD KPEP Krebs cycle legal string LSCs mathematical MDS descriptor mechanism membrane metabolic molecular computing molecular machines Molecule2 molecules multisets mutant Na-K pump organisms parameters pathway Păun Petri nets phenotype phosphorylation pointer population private channel probability of fixation properties protein pump quasi-steady reaction receptors represent rules sequence side2 signed graph simulation space specific stochastic stoichiometric structure substrate symport theory tion to_leaf to_root UDP_Glucose vulval
Fréquemment cités
Page 283 - Smoothness within ruggedness: the role of neutrality in adaptation.