• 1.: Introduction 1.1: Some Basic Definitions 1.2: Introduction to Classical Identification 2.: Introduction to Chemical Kinetic Processes 2.1: Macroscopic, Deterministic Chemical Kinetics 2.2: Disordered Kinetics 2.3: Fluctuations 3.: A Brief Review of Methodology for the Analysis of Biochemical Reactions and Cells 3.1: Introduction 3.2: Measurement of Metabolite Concentrations 3.3: Principles and Applications of Mass Spectrometry 3.4: Genome-Wide Analyses of mRNA and Proteins 3.5: Fluorescent Imaging 3.6: Conclusions 4.: Computations by Means of Macroscopic Chemical Kinetics 4.1: Chemical Neurons and Logic Gates 4.2: Implementation of Computers by Macroscopic Chemical Kinetics 4.3: Computational Functions in Biochemical Reaction Systems 5.: Response of Systems to Pulse Perturbations 5.1: Theory 5.2: An Example: The Glycolytic Pathway 6.: Experimental Test of the Pulse Pertubation Method for Determining Casual Connectivities of Chemical Species in a Reaction Network 7.: Correlation Metric Construction: Theory of Statistical Construction of Reaction Mechanisms 8.: Experimental Test and Applications of Correlation Metric Construction 9.: Destiny Estimation 9.1: Entropy Metric Construction (EMC) 9.2: Entropy Reduction Method (ERM) 10.: Applications of Genetic Algorithms to the Determination of Reaction Mechanisms 10.1: A Shory Primer on Genetic Algorithms 10.2: Selection Regulation of Flux in a Metabolic Model 10.3: Evolutionary Development of Biochemical Oscillatory Reaction Mechanisms 10.4: Systematic Determination of Reaction Mechanism and Rate Coefficients 10.5: Summary 11.: Oscillatory Reactions 11.1: Introduction 11.2: Concepts and Theoretical Constructs 11.3: Experiments Leading to Information about the Oscillatory Reaction Mechanism 11.4: Examples of Deduction of Reaction Mechanism from Experiments 11.5: Limits of Stoichiometric Network Analysis 12.: Lifetime and Transit Time Distributions and Response Experiments in Chemical Kinetics 12.1: Lifetime Distributions of Chemical Species 12.2: Response Experiments and Lifetime Distributions 12.3: Transit Time Distributions, in Complex Chemical Systems 12.4: Transit Time Distributions, Linear Response, and Extracting Kinetic Information from Experimental Data 12.5: Errors in Response Experiments 12.6: Response Experiments for Reaction-Diffusion Systems 12.7: Conclusions 13.: Mini-Introduction to Bioinformatics 13.1: Clustering 13.2: Linearization in Various Forms 13.3: Modeling of Reaction Mechanisms 13.4: Boolean Networks 13.5: Correlation Metric Construction for Genetic Networks 13.6: Bayesian Networks 13.7: Some Other Illustrative Approaches Index

"The main value of this book is that it discusses experimental protocols and theoretical methods for the rational elucidation of reaction networks and their kinetic parameters by utilizing such techniques. In other words, it is a manual that describes nontraditional methodologies for the determination of reaction mechanisms from kinetic data sets."-- Angewandte Chemie"For readers who want a fresh view of one of the central challenges in reaction kinetics, this is the book for you. There's no other book like it on the market. It should be useful to a wide audience in many fields including chemistry, biochemistry, biotechnology, engineering, and genomics."-- Chemical & Engineering News"The main value of this book is that it discusses experimental protocols and theoretical methods for the rational elucidation of reaction networks and their kinetic parameters by utilizing such techniques. In other words, it is a manual that describes nontraditional methodologies for he determination of reaction mechanisms from kinetic data sets."-- Angewandte Chemie"For readers who want a fresh view of one of the central challenges in reaction kinetics, this is the book for you. There's no other book like it on the market. It should be useful to a wide audience in many fields including chemistry, biochemistry, biotechnology, engineering, and genomics."-- Chemical & Engineering News

• 1.: Introduction 1.1: Some Basic Definitions 1.2: Introduction to Classical Identification 2.: Introduction to Chemical Kinetic Processes 2.1: Macroscopic, Deterministic Chemical Kinetics 2.2: Disordered Kinetics 2.3: Fluctuations 3.: A Brief Review of Methodology for the Analysis of Biochemical Reactions and Cells 3.1: Introduction 3.2: Measurement of Metabolite Concentrations 3.3: Principles and Applications of Mass Spectrometry 3.4: Genome-Wide Analyses of mRNA and Proteins 3.5: Fluorescent Imaging 3.6: Conclusions 4.: Computations by Means of Macroscopic Chemical Kinetics 4.1: Chemical Neurons and Logic Gates 4.2: Implementation of Computers by Macroscopic Chemical Kinetics 4.3: Computational Functions in Biochemical Reaction Systems 5.: Response of Systems to Pulse Perturbations 5.1: Theory 5.2: An Example: The Glycolytic Pathway 6.: Experimental Test of the Pulse Pertubation Method for Determining Casual Connectivities of Chemical Species in a Reaction Network 7.: Correlation Metric Construction: Theory of Statistical Construction of Reaction Mechanisms 8.: Experimental Test and Applications of Correlation Metric Construction 9.: Destiny Estimation 9.1: Entropy Metric Construction (EMC) 9.2: Entropy Reduction Method (ERM) 10.: Applications of Genetic Algorithms to the Determination of Reaction Mechanisms 10.1: A Shory Primer on Genetic Algorithms 10.2: Selection Regulation of Flux in a Metabolic Model 10.3: Evolutionary Development of Biochemical Oscillatory Reaction Mechanisms 10.4: Systematic Determination of Reaction Mechanism and Rate Coefficients 10.5: Summary 11.: Oscillatory Reactions 11.1: Introduction 11.2: Concepts and Theoretical Constructs 11.3: Experiments Leading to Information about the Oscillatory Reaction Mechanism 11.4: Examples of Deduction of Reaction Mechanism from Experiments 11.5: Limits of Stoichiometric Network Analysis 12.: Lifetime and Transit Time Distributions and Response Experiments in Chemical Kinetics 12.1: Lifetime Distributions of Chemical Species 12.2: Response Experiments and Lifetime Distributions 12.3: Transit Time Distributions, in Complex Chemical Systems 12.4: Transit Time Distributions, Linear Response, and Extracting Kinetic Information from Experimental Data 12.5: Errors in Response Experiments 12.6: Response Experiments for Reaction-Diffusion Systems 12.7: Conclusions 13.: Mini-Introduction to Bioinformatics 13.1: Clustering 13.2: Linearization in Various Forms 13.3: Modeling of Reaction Mechanisms 13.4: Boolean Networks 13.5: Correlation Metric Construction for Genetic Networks 13.6: Bayesian Networks 13.7: Some Other Illustrative Approaches Index

"The main value of this book is that it discusses experimental protocols and theoretical methods for the rational elucidation of reaction networks and their kinetic parameters by utilizing such techniques. In other words, it is a manual that describes nontraditional methodologies for the determination of reaction mechanisms from kinetic data sets."-- Angewandte Chemie"For readers who want a fresh view of one of the central challenges in reaction kinetics, this is the book for you. There's no other book like it on the market. It should be useful to a wide audience in many fields including chemistry, biochemistry, biotechnology, engineering, and genomics."-- Chemical & Engineering News"The main value of this book is that it discusses experimental protocols and theoretical methods for the rational elucidation of reaction networks and their kinetic parameters by utilizing such techniques. In other words, it is a manual that describes nontraditional methodologies for he determination of reaction mechanisms from kinetic data sets."-- Angewandte Chemie"For readers who want a fresh view of one of the central challenges in reaction kinetics, this is the book for you. There's no other book like it on the market. It should be useful to a wide audience in many fields including chemistry, biochemistry, biotechnology, engineering, and genomics."-- Chemical & Engineering News

• 1.: Introduction 1.1: Some Basic Definitions 1.2: Introduction to Classical Identification 2.: Introduction to Chemical Kinetic Processes 2.1: Macroscopic, Deterministic Chemical Kinetics 2.2: Disordered Kinetics 2.3: Fluctuations 3.: A Brief Review of Methodology for the Analysis of Biochemical Reactions and Cells 3.1: Introduction 3.2: Measurement of Metabolite Concentrations 3.3: Principles and Applications of Mass Spectrometry 3.4: Genome-Wide Analyses of mRNA and Proteins 3.5: Fluorescent Imaging 3.6: Conclusions 4.: Computations by Means of Macroscopic Chemical Kinetics 4.1: Chemical Neurons and Logic Gates 4.2: Implementation of Computers by Macroscopic Chemical Kinetics 4.3: Computational Functions in Biochemical Reaction Systems 5.: Response of Systems to Pulse Perturbations 5.1: Theory 5.2: An Example: The Glycolytic Pathway 6.: Experimental Test of the Pulse Pertubation Method for Determining Casual Connectivities of Chemical Species in a Reaction Network 7.: Correlation Metric Construction: Theory of Statistical Construction of Reaction Mechanisms 8.: Experimental Test and Applications of Correlation Metric Construction 9.: Destiny Estimation 9.1: Entropy Metric Construction (EMC) 9.2: Entropy Reduction Method (ERM) 10.: Applications of Genetic Algorithms to the Determination of Reaction Mechanisms 10.1: A Shory Primer on Genetic Algorithms 10.2: Selection Regulation of Flux in a Metabolic Model 10.3: Evolutionary Development of Biochemical Oscillatory Reaction Mechanisms 10.4: Systematic Determination of Reaction Mechanism and Rate Coefficients 10.5: Summary 11.: Oscillatory Reactions 11.1: Introduction 11.2: Concepts and Theoretical Constructs 11.3: Experiments Leading to Information about the Oscillatory Reaction Mechanism 11.4: Examples of Deduction of Reaction Mechanism from Experiments 11.5: Limits of Stoichiometric Network Analysis 12.: Lifetime and Transit Time Distributions and Response Experiments in Chemical Kinetics 12.1: Lifetime Distributions of Chemical Species 12.2: Response Experiments and Lifetime Distributions 12.3: Transit Time Distributions, in Complex Chemical Systems 12.4: Transit Time Distributions, Linear Response, and Extracting Kinetic Information from Experimental Data 12.5: Errors in Response Experiments 12.6: Response Experiments for Reaction-Diffusion Systems 12.7: Conclusions 13.: Mini-Introduction to Bioinformatics 13.1: Clustering 13.2: Linearization in Various Forms 13.3: Modeling of Reaction Mechanisms 13.4: Boolean Networks 13.5: Correlation Metric Construction for Genetic Networks 13.6: Bayesian Networks 13.7: Some Other Illustrative Approaches Index

"The main value of this book is that it discusses experimental protocols and theoretical methods for the rational elucidation of reaction networks and their kinetic parameters by utilizing such techniques. In other words, it is a manual that describes nontraditional methodologies for the determination of reaction mechanisms from kinetic data sets."-- Angewandte Chemie"For readers who want a fresh view of one of the central challenges in reaction kinetics, this is the book for you. There's no other book like it on the market. It should be useful to a wide audience in many fields including chemistry, biochemistry, biotechnology, engineering, and genomics."-- Chemical & Engineering News"The main value of this book is that it discusses experimental protocols and theoretical methods for the rational elucidation of reaction networks and their kinetic parameters by utilizing such techniques. In other words, it is a manual that describes nontraditional methodologies for he determination of reaction mechanisms from kinetic data sets."-- Angewandte Chemie"For readers who want a fresh view of one of the central challenges in reaction kinetics, this is the book for you. There's no other book like it on the market. It should be useful to a wide audience in many fields including chemistry, biochemistry, biotechnology, engineering, and genomics."-- Chemical & Engineering News