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Dissertations / Theses on the topic 'Biochemical network'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Santra, Tapesh. "Evolutionarily stable and fragile modules of yeast biochemical network." Thesis, University of Glasgow, 2011. http://theses.gla.ac.uk/2644/.

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Gene and protein interaction networks have evolved to precisely specify cell fates and functions. Here, we analyse whether the architecture of these networks affects evolvability. We find evidence to suggest that in yeast these networks are mainly acyclic, and that evolutionary changes in these parts do not affect their global dynamic properties. In contrast, feedback loops strongly influence dynamic behaviour and are often evolutionarily conserved. Feedback loops are often found to reside in a clustered manner by means of coupling and nesting with each other in the molecular interaction netwo

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2

ANDREWS, JOHN EMMET. "CORRESPONDENCE BETWEEN STRUCTURAL AND DYNAMIC PROPERTIES IN A BIOCHEMICAL NETWORK." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/612563.

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Phenotypic traits are determined by networks of interactions between genes, proteins and enzymes. Structural positions of regulatory mechanisms in the network can determine variability in its elements. Here we examine the topological properties of controls that regulate element expression in a network. If distinct regulatory controls are located at the beginning and end of the same pathway, then we would expect phenotypic differences to be due to differences in the pathway length of their respective networks. Alternatively, if each pathway has its own control mechanism, then phenotypic differe

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3

Morrison, Erin S., and Alexander V. Badyaev. "Structuring evolution: biochemical networks and metabolic diversification in birds." BioMed Central, 2016. http://hdl.handle.net/10150/620926.

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Background Recurrence and predictability of evolution are thought to reflect the correspondence between genomic and phenotypic dimensions of organisms, and the connectivity in deterministic networks within these dimensions. Direct examination of the correspondence between opportunities for diversification imbedded in such networks and realized diversity is illuminating, but is empirically challenging because both the deterministic networks and phenotypic diversity are modified in the course of evolution. Here we overcome this problem by directly comparing the structure of a “global” carotenoi

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4

Sentausa, Erwin. "Time course simulation replicability of SBML-supporting biochemical network simulation tools." Thesis, University of Skövde, School of Humanities and Informatics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-33.

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<p>Background: Modelling and simulation are important tools for understanding biological systems. Numerous modelling and simulation software tools have been developed for integrating knowledge regarding the behaviour of a dynamic biological system described in mathematical form. The Systems Biology Markup Language (SBML) was created as a standard format for exchanging biochemical network models among tools. However, it is not certain yet whether actual usage and exchange of SBML models among the tools of different purpose and interfaces is assessable. Particularly, it is not clear whether dyna

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5

Allen, Nicholas A. "Computational Software for Building Biochemical Reaction Network Models with Differential Equations." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/30059.

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The cell is a highly ordered and intricate machine within which a wide variety of chemical processes take place. The full scientific understanding of cellular physiology requires accurate mathematical models that depict the temporal dynamics of these chemical processes. Modelers build mathematical models of chemical processes primarily from systems of differential equations. Although developing new biological ideas is more of an art than a science, constructing a mathematical model from a biological idea is largely mechanical and automatable. This dissertation describes the practices and pr

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6

Allen, Nicholas Alexander. "Computational Software for Building Biochemical Reaction Network Models with Differential Equations." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/30059.

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The cell is a highly ordered and intricate machine within which a wide variety of chemical processes take place. The full scientific understanding of cellular physiology requires accurate mathematical models that depict the temporal dynamics of these chemical processes. Modelers build mathematical models of chemical processes primarily from systems of differential equations. Although developing new biological ideas is more of an art than a science, constructing a mathematical model from a biological idea is largely mechanical and automatable. This dissertation describes the practices and proc

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7

Ahmadian, Mansooreh. "Hybrid Modeling and Simulation of Stochastic Effects on Biochemical Regulatory Networks." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99481.

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A complex network of genes and proteins governs the robust progression through cell cycles in the presence of inevitable noise. Stochastic modeling is viewed as a key paradigm to study the effects of intrinsic and extrinsic noise on the dynamics of biochemical networks. A detailed quantitative description of such complex and multiscale networks via stochastic modeling poses several challenges. First, stochastic models generally require extensive computations, particularly when applied to large networks. Second, the accuracy of stochastic models is highly dependent on the quality of the paramet

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8

Chou, I.-Chun. "Parameter estimation and network identification in metabolic pathway systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26513.

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Thesis (Ph.D)--Biomedical Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Voit, Eberhard O.; Committee Member: Borodovsky, Mark; Committee Member: Butera, Robert; Committee Member: Kemp, Melissa; Committee Member: Park, Haesun. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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9

Rengstl, Birgit. "Biochemical characterization of an intermediate membrane subfraction in cyanobacteria involved in an assembly network for photosystem II." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-151430.

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10

Rengstl, Birgit [Verfasser], and Jörg [Akademischer Betreuer] Nickelsen. "Biochemical characterization of an intermediate membrane subfraction in cyanobacteria involved in an assembly network for photosystem II / Birgit Rengstl. Betreuer: Jörg Nickelsen." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2012. http://d-nb.info/1029662452/34.

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11

Harrop, Ceri. "Biochemical, biophysical and network properties of mucins and mucus gels produced by human bronchial epithelial cells in response to disease-relevant mediators." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.532253.

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12

Shersher, Elena. "The Influence of the Proximal Thiolate Ligand and Hydrogen Bond Network of the Proximal Helix on the Structural and Biochemical Properties of Chloroperoxidase." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2483.

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Chloroperoxidase (CPO) from Caldariomyces fumago is a versatile heme enzyme with great potential for environmental and pharmaceutical applications. It catalyzes a plethora of reactions including halogenation, dismutation, epoxidation, and oxidation. The diverse catalytic capabilities of CPO have long been attributed to the protein’s distinct active site that combines structural features of peroxidases and cytochromes P450. Particularly, the role of the axial thiolate ligand in CPO catalysis has been much debated. Furthermore, no data are available on the role of hydrogen bonding between Arg 26

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13

Chikkabel, Archana. "Visualizing biochemical networks with Netview." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4234.

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Thesis (M.S.) University of Missouri-Columbia, 2006.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (May 21, 2007) Vita. Includes bibliographical references.

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14

Khoshnaw, Sarbaz Hamza Abdullah. "Model reductions in biochemical reaction networks." Thesis, University of Leicester, 2015. http://hdl.handle.net/2381/32442.

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Many complex kinetic models in the field of biochemical reactions contain a large number of species and reactions. These models often require a huge array of computational tools to analyse. Techniques of model reduction, which arise in various theoretical and practical applications in systems biology, represent key critical elements (variables and parameters) and substructures of the original system. This thesis aims to study methods of model reduction for biochemical reaction networks. It has three goals related to techniques of model reduction. The primary goal provides analytical approximat

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15

Dräger, Andreas [Verfasser]. "Computational Modeling of Biochemical Networks / Andreas Dräger." München : Verlag Dr. Hut, 2011. http://d-nb.info/1011441748/34.

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16

Ollivier, Julien. "Scalable methods for modelling complex biochemical networks." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=104586.

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In cells, complex networks of interacting biomolecules process both environmental and endogenous signals to control gene expression and other cellular processes. This poses a challenge to researchers who attempt to develop mathematical and computational models of biochemical networks that reflect this complexity. In this thesis, I propose methods that help manage complexity by exploiting the finding that, as for other biological systems, cellular networks are characterized by a modularity that appears at all levels of organization.The first part of this work focuses on the modular properties o

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17

Binns, Michael John. "Kinetic modelling of chemical and biochemical networks." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496236.

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The modelling of chemical and biochemical systems is highly dependent on the reaction network of the system. A reaction network should contain all the reactions which can occur in addition to the species involved. However in many cases there will be reactions occurring which are missing from the network. These are called gaps (Reed et al., 2003; Duarte et al, 2004) and occur because the databases of reactions used to build them are incomplete. The main aim of this work is to identify all the reactions which can occur in a given system including the unknown ones. This is accomplished through a

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18

Pahle, Jürgen. "Stochastic simulation and analysis of biochemical networks." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2008. http://dx.doi.org/10.18452/15786.

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Stochastische Effekte können einen großen Einfluss auf die Funktionsweise von biochemischen Netzwerken haben. Vor allem Signalwege, z.B. Calciumsignaltransduktion, sind anfällig gegenüber zufälligen Schwankungen. Daher stellt sich die wichtige Frage, wie dadurch der Informationstransfer in diesen Systemen beeinträchtigt wird. Zunächst werden eine Reihe von stochastischen Simulationsmethoden diskutiert und systematisch klassifiziert. Dies dient als methodische Grundlage der ganzen Dissertation. Der Schwerpunkt liegt hier auf approximativen und hybriden Ansätzen, einschließlich der Hybridmeth

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19

Lester, Christopher. "Efficient simulation techniques for biochemical reaction networks." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:bb804e01-b1de-409f-b843-4806c2c990c2.

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Discrete-state, continuous-time Markov models are becoming commonplace in the modelling of biochemical processes. The mathematical formulations that such models lead to are opaque, and, due to their complexity, are often considered analytically intractable. As such, a variety of Monte Carlo simulation algorithms have been developed to explore model dynamics empirically. Whilst well-known methods, such as the Gillespie Algorithm, can be implemented to investigate a given model, the computational demands of traditional simulation techniques remain a significant barrier to modern research. In ord

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20

García, Caballero Gabriel [Verfasser], and Herbert [Akademischer Betreuer] Kaltner. "Chicken (Gallus gallus) as model for network analysis of adhesion-/growth-regulatory galectins : biochemical characterization of C-GRIFIN/C-GRP and first complete histochemical analysis for the galectin family in bursa of Fabricius / Gabriel García Caballero ; Betreuer: Herbert Kaltner." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2018. http://d-nb.info/1155407733/34.

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21

Heuett, William J. "New methods for modeling large-scale biochemical networks /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/6769.

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22

Vander, Velden Kent Allan. "Modeling, simulation, synthesis, and optimization of biochemical networks." [Ames, Iowa : Iowa State University], 2009.

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23

Ong, Mei-Lyn. "Analysis of robustness and stochasticity in biochemical networks." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/70409.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Computational and Systems Biology Program, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>Cells are constantly faced with the challenge of functioning reliably while being subject to unpredictable changes from within and outside. Here, I present two studies in which I analyze how biochemical circuits that regulate signaling and gene expression can generate robustness or phenotypic variability between otherwise identical yeast cells. Using the osmosensing signaling pathway which consists of a phos

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24

Wu, Jialiang. "Hybrid modeling and analysis of multiscale biochemical reaction networks." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/47723.

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This dissertation addresses the development of integrative modeling strategies capable of combining deterministic and stochastic, discrete and continuous, as well as multi-scale features. The first set of studies combines the purely deterministic modeling methodology of Biochemical Systems Theory (BST) with a hybrid approach, using Functional Petri Nets, which permits the account of discrete features or events, stochasticity, and different types of delays. The efficiency and significance of this combination is demonstrated with several examples, including generic biochemical networks with feed

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25

Geffen, Dara. "Parameter identifiability of biochemical reaction networks in systems biology." Thesis, Kingston, Ont. : [s.n.], 2008. http://hdl.handle.net/1974/1347.

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26

Strychalski, Wanda Adalsteinsson David Elston Timothy C. "Simulation methods for spatiotemporal models of biochemical signaling networks." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2009. http://dc.lib.unc.edu/u?/etd,2493.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2009.<br>Title from electronic title page (viewed Oct. 5, 2009). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Mathematics." Discipline: Mathematics; Department/School: Mathematics.

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27

Platt, Robert John. "The evolutionary dynamics of biochemical networks in fluctuating environments." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/the-evolutionary-dynamics-of-biochemical-networks-in-fluctuating-environments(176f1bbb-95c9-4857-a274-0afe81d07d4e).html.

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Typically, systems biology focuses on the form and function of networks of biochemical interactions. Questions inevitably arise as to the evolutionary origin of those networks' properties. Such questions are of interest to a growing number of systems biologists, and several groups have published studies shown how varying environments can affect network topology and lead to increased evolvability. For decades, evolutionary biologists have also investigated the evolution of evolvability and its relationship to the interactions between genotype and phenotype. While the perspectives of systems and

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28

Mandel, Johannes Julius. "Graph-Based Modelling and Reverse-Engineering of Biochemical Networks." Thesis, Ulster University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487658.

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The term biological system encompasses all living systems within which components interact with one another on different levels of organisation. It is the goal of systems biology to explain how biological function emerges from the structure and dynamics of biological systems. The position of systems biology is that the functioning of biological systems is explicable in terms of the dynamic interaction of the components of that system. Reproducing these dynamics using computational models is therefore a promising way to inferring the causal relationships underlying biological function.This stan

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29

Kaiser, Marcus [Verfasser]. "Neural and biochemical networks : organization, development, and robustness / Marcus Kaiser." Bremen : IRC-Library, Information Resource Center der Jacobs University Bremen, 2008. http://d-nb.info/1034772228/34.

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30

Jauhiainen, Alexandra. "Evaluation and Development of Methods for Identification of Biochemical Networks." Thesis, Linköping University, The Department of Physics, Chemistry and Biology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2811.

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<p>Systems biology is an area concerned with understanding biology on a systems level, where structure and dynamics of the system is in focus. Knowledge about structure and dynamics of biological systems is fundamental information about cells and interactions within cells and also play an increasingly important role in medical applications. </p><p>System identification deals with the problem of constructing a model of a system from data and an extensive theory of particularly identification of linear systems exists. </p><p>This is a master thesis in systems biology treating identification of b

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31

Woo, Sung Sik Ph D. Massachusetts Institute of Technology. "Fast simulation of stochastic biochemical reaction networks on cytomorphic chips." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107292.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 169-181).<br>The large-scale simulation of biochemical reaction networks in cells is important in pathway discovery in medicine, in analyzing complex cell function in systems biology, and in the design of synthetic biological

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32

Petrides, Andreas. "Advances in the stochastic and deterministic analysis of multistable biochemical networks." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/279059.

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This dissertation is concerned with the potential multistability of protein concentrations in the cell that can arise in biochemical networks. That is, situations where one, or a family of, proteins may sit at one of two or more different steady state concentrations in otherwise identical cells, and in spite of them being in the same environment. Models of multisite protein phosphorylation have shown that this mechanism is able to exhibit unlimited multistability. Nevertheless, these models have not considered enzyme docking, the binding of the enzymes to one or more substrate docking sites, w

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33

Kooner, Priya. "Mathematical modelling of tumour invasion : from biochemical networks to tissue dynamics." Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.670187.

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34

Apte, Advait. "Computational modeling of biochemical systems using cellular automata." VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/2046.

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Biological systems exhibit complex behaviors through coordinated responses of individual biological components. With the advent of genome-scale techniques, one focus has been to develop methods to model interactions between components to accurately describe intact system function. Mathematical modeling techniques such as constraint-based modeling, agent-based modeling, cellular automata (CA) modeling and differential equation modeling are employed as computational tools to study biological phenomenon. We have shown that cellular automata simulations can be used as a computational tool for 12 p

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35

Thomas, Philipp. "Systematic approximation methods for stochastic biochemical kinetics." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/16197.

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Experimental studies have shown that the protein abundance in living cells varies from few tens to several thousands molecules per species. Molecular fluctuations roughly scale as the inverse square root of the number of molecules due to the random timing of reactions. It is hence expected that intrinsic noise plays an important role in the dynamics of biochemical networks. The Chemical Master Equation is the accepted description of these systems under well-mixed conditions. Because analytical solutions to this equation are available only for simple systems, one often has to resort to approxim

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36

Börsch, Anastasiya [Verfasser]. "Stability and regulation of delayed negative feedbacks in biochemical networks / Anastasiya Börsch." Magdeburg : Universitätsbibliothek, 2016. http://d-nb.info/1135662053/34.

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37

Wrzodek, Clemens [Verfasser]. "Inference and integration of biochemical networks with multilayered omics data / Clemens Wrzodek." München : Verlag Dr. Hut, 2013. http://d-nb.info/1042307652/34.

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38

Herajy, Mostafa [Verfasser], and Monika [Akademischer Betreuer] Heiner. "Computational steering of multi-scale biochemical networks / Mostafa Herajy. Betreuer: Monika Heiner." Cottbus : Universitätsbibliothek der BTU Cottbus, 2013. http://d-nb.info/1031666931/34.

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39

Linar, Mikeev [Verfasser], and Verena [Akademischer Betreuer] Wolf. "Numerical analysis of stochastic biochemical reaction networks / Mikeev Linar ; Betreuer: Verena Wolf." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2018. http://d-nb.info/1160938695/34.

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Azim, Qurat-Ul-Ain. "Information theoretic framework for stochastic sensitivity and specificity analysis in biochemical networks." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/52712.

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Biochemical reaction networks involve many chemical species and are inherently stochastic and complex in nature. Reliable and organised functioning of such systems in varied environments requires that their behaviour is robust with respect to certain parameters while sensitive to other variations, and that they exhibit specific responses to various stimuli. There is a continuous need for improved models and methodologies to unravel the complex behaviour of the dynamics of such systems. In this thesis, we apply ideas from information theory to develop novel methods to study properties of bioche

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Stigler, Brandilyn Suzanne. "An Algebraic Approach to Reverse Engineering with an Application to Biochemical Networks." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/28791.

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One goal of systems biology is to predict and modify the behavior of biological networks by accurately monitoring and modeling their responses to certain types of perturbations. The construction of mathematical models based on observation of these responses, referred to as reverse engineering, is an important step in elucidating the structure and dynamics of such networks. Continuous models, described by systems of differential equations, have been used to reverse engineer biochemical networks. Of increasing interest is the use of discrete models, which may provide a conceptual description of

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Hajiaghayi, Monir. "Study of two biochemical models : chemical reaction networks, and nucleic acid systems." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/63311.

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The contributions of this thesis are motivated by an exciting challenge at the intersection of computer science and biochemistry: Can we program molecules to do interesting or useful computations? There has been significant progress in programming nucleic acids - particularly DNA molecules - thanks in part to availability of models and algorithms for predicting nucleic acid structure and folding kinetics. At a higher level of abstraction, Chemical Reaction Networks (CRNs) have proven to be valuable as a molecular programming model that enables researchers to understand the potential and

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DAVIS, SARAH NICOLE. "ORIGIN OF NOVEL COLOR PHENOTYPES: CONTRIBUTION OF STRUCTURAL PROPERTIES OF BIOCHEMICAL NETWORKS." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/612832.

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Examining the phenotypic variation observed within a species is an opportunity to understand the evolutionary stability and potential evolutionary trajectories of the species. Feather coloration in many birds is produced by complex biochemical networks that modify ingested, dietary carotenoids to produce colorful carotenoids deposited into feathers. Within-species color variation can be caused by variation in either the structure of this network or the flux through it. Here we tested the contribution of structural properties of biochemical networks to variation across individuals from 21 popul

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López, García de Lomana Adrián. "Computational approaches to the modelling of topological and dynamical aspects of biochemical networks." Doctoral thesis, Universitat Pompeu Fabra, 2010. http://hdl.handle.net/10803/7224.

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Els mecanismes de regulaci o de les c el lules poden ser modelats per controlar i entendre la biologia cel lular. Diferents nivells d'abstracci o s'utilitzen per descriure els processos biol ogics. En aquest treball s'han utilitzat grafs i equacions diferencials per modelar les interaccions cel lulars tant qualitativament com quantitativa. En aquest treball s'han analitzat dades d'interacci o i activitat de diferents organismes, E. coli i S. cerevisiae: xarxes d'interacci o prote na-prote na, de regulaci o de la transcripci o, i metab oliques, aix com per ls d'expressi o gen omica

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Paudel, Nirmala. "Computational analysis of biochemical networks for drug target identification and therapeutic intervention design." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90152.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 96-104).<br>Identification of effective drug targets to intervene, either as single agent therapy or in combination, is a critical question in drug development. As complexity of disease like cancer is revealed, it has become clear that a holistic network approach is needed to identify drug targets that are specially positioned to provide desired leverage on disease phenotypes. In this thesis we develop a comput

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46

Hellander, Andreas. "Numerical simulation of well stirred biochemical reaction networks governed by the master equation." Licentiate thesis, Uppsala universitet, Avdelningen för teknisk databehandling, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-85856.

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Numerical simulation of stochastic biochemical reaction networks has received much attention in the growing field of computational systems biology. Systems are frequently modeled as a continuous-time discrete space Markov chain, and the governing equation for the probability density of the system is the (chemical) master equation. The direct numerical solution of this equation suffers from an exponential growth in computational time and memory with the number of reacting species in the model. As a consequence, Monte Carlo simulation methods play an important role in the study of stochastic che

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Fontaine, Nicolas. "Modélisation de système synthétique pour la production de biohydrogène." Thesis, La Réunion, 2015. http://www.theses.fr/2015LARE0016/document.

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L'épuisement annoncé dans les prochaines décennies des ressources fossiles qui fournissent actuellement plus de 70% du carburant consommé dans les transports terrestres, aériens et maritimes au niveau mondial, incite à l'identification et le développement de nouvelles sources d'énergies renouvelables. La production de biocarburants issue de l'exploitation de la biomasse représente une des voies de recherche les plus prometteuses. Si la première génération des biocarburants (production à partir de plantes sucrières, de céréales ou d'oléagineux) atteint ses limites (concurrence avec les usages a

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Samal, Satya Swarup [Verfasser]. "Analysis of Biochemical Reaction Networks using Tropical and Polyhedral Geometry Methods / Satya Swarup Samal." Bonn : Universitäts- und Landesbibliothek Bonn, 2016. http://d-nb.info/1124540091/34.

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Menz, Stephan [Verfasser]. "Hybrid stochastic-deterministic approaches for simulation and analysis of biochemical reaction networks / Stephan Menz." Berlin : Freie Universität Berlin, 2013. http://d-nb.info/1031667121/34.

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Ürgüplü, Belma Asli. "Contributions to symbolic effective qualitative analysis of dynamical systems : application to biochemical reaction networks." Thesis, Lille 1, 2010. http://www.theses.fr/2010LIL10013/document.

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Le but de mes travaux de recherche est de rendre, autant que possible, algorithmique l'étude des modèles composés par des équations différentielles paramétriques. Je me concentre aux algorithmes basés sur les symétries de Lie étendues pour les modèles de taille moyenne (environ vingt variables). Je présente deux méthodes de simplification exacte : la réduction du nombre des variables d'un modèle et sa reparamétrisation pour distinguer le rôle de ses paramètres. Les systèmes simplifiés sont équivalents aux systèmes originaux par des relations implicites ou explicites (suivant la méthode choisie

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