Description

Book Synopsis
A Research-Driven Resource on Building Biochemical Systems to Perform Information Processing Functions

Information Processing by Biochemical Systems describes fully delineated biochemical systems, organized as neural networktype assemblies. It explains the relationship between these two apparently unrelated fields, revealing how biochemical systems have the advantage of using the language of the physiological processes and, therefore, can be organized into the neural networktype assemblies, much in the way that natural biosystems are. A wealth of information is included concerning both the experimental aspects (such as materials and equipment used) and the computational procedures involved. This authoritative reference:

  • Addresses network-type connectivity, considered to be a key feature underlying the information processing ability of the brain

  • Describes novel scientific achievements, and serves as an aid for those interested in furt

    Trade Review

    "A wealth of information is included concerning both the experimental aspects (such as materials and equipment used) and the computational procedures involved." (Zentralblatt MATH 2016)



    Table of Contents
    Preface.

    Terminology.

    List of Symbols and Acronyms.

    1 Introduction and Literature Survey.

    1.1 Introduction.

    1.2 Computational Processes Based on Biological Principles.

    1.2.1 Modeling Biological Processes.

    1.2.2 Artificial Neural Networks.

    1.3 Molecular and Biomolecular Electronics.

    1.3.1 Motivation.

    1.3.2 Molecular Electronics.

    1.3.3 Biomolecular Electronics.

    1.4 Biochemical Devices Based on Enzymic Reactions.

    1.5 Oscillations in Biochemical Systems.

    1.6 Kinetic Characteristics of Cyclic Enzyme Systems.

    2 Background and Goals of This Study.

    3 Materials and Methods.

    3.1 Materials.

    3.2 Instruments.

    3.3 Experimental Methods.

    3.3.1 Determination of Kinetic Constants.

    3.3.2 Determination of the Inhibition Constant for Inhibition of Glutathione Reductase by Glucose-6-Phosphate.

    3.3.3 Immobilization on Affi-Gel 10.

    3.3.4 Assay for Glucose-6-Phosphate Dehydrogenase.

    3.3.5 Assay for Glutathione Reductase.

    3.4 Computational Methods.

    4 Results.

    4.1 The Basic System: Theoretical Considerations and Results.

    4.1.1 Characteristics of the Basic System.

    4.1.2 The Basic System as an Information-Processing Unit.

    4.1.3 Analytical Models for the Basic System.

    4.1.4 Results of Numerical Simulations for the Basic System.

    4.2 Neural Network–Type Biochemical Systems for Information Processing.

    4.2.1 Network A.

    4.2.2 Network B.

    4.2.3 Network C.

    4.3 The Basic System: Experimental Results.

    4.3.1 Deciding on the Experimental System.

    4.3.2 Kinetic Study of the Experimental System.

    4.3.3 Control of the Input Signal.

    4.3.4 The Basic System in a Fed-Batch Reactor.

    4.3.5 Internal Inhibition in the Basic System.

    4.3.6 Prediction of the Analytical Model Considering Internal Inhibition in a Fed-Batch Reactor.

    4.3.7 Immobilization of G6PDH and GR.

    4.3.8 The Basic System in a Packed Bed Reactor.

    4.4 The Extended Basic System: Theoretical Considerations and Results.

    4.4.1 Characteristics of the Extended Basic System.

    4.4.2 The Extended Basic System as an Information-Processing Unit.

    4.4.3 Analytical Model for the Extended Basic System.

    4.4.4 Results of Numerical Simulations for the Extended Basic System.

    5 Discussion.

    5.1 The Basic System.

    5.1.1 Fed-Batch Reactor: Numerical Simulations.

    5.1.2 Continuous Reactor: Numerical Simulations.

    5.1.3 Assessment of Experimental Results.

    5.2 The Extended Basic System.

    5.3 Biochemical Networks.

    5.4 Comparing Artificial Neural Networks with Biochemical Networks.

    5.5 Comparing Biochemical Networks to Computational Models.

    6 Conclusions.

    References.

    Index.

Information Processing by Biochemical Systems

    Product form

    £67.46

    Includes FREE delivery

    RRP £74.95 – you save £7.49 (9%)

    Order before 4pm tomorrow for delivery by Mon 6 Jul 2026.

    A Hardback by Orna Filo, Noah Lotan

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Information Processing by Biochemical Systems by Orna Filo

      Publisher: John Wiley & Sons Inc
      Publication Date: 19/01/2010
      ISBN13: 9780470500941, 978-0470500941
      ISBN10: 0470500948

      Description

      Book Synopsis
      A Research-Driven Resource on Building Biochemical Systems to Perform Information Processing Functions

      Information Processing by Biochemical Systems describes fully delineated biochemical systems, organized as neural networktype assemblies. It explains the relationship between these two apparently unrelated fields, revealing how biochemical systems have the advantage of using the language of the physiological processes and, therefore, can be organized into the neural networktype assemblies, much in the way that natural biosystems are. A wealth of information is included concerning both the experimental aspects (such as materials and equipment used) and the computational procedures involved. This authoritative reference:

      • Addresses network-type connectivity, considered to be a key feature underlying the information processing ability of the brain

      • Describes novel scientific achievements, and serves as an aid for those interested in furt

        Trade Review

        "A wealth of information is included concerning both the experimental aspects (such as materials and equipment used) and the computational procedures involved." (Zentralblatt MATH 2016)



        Table of Contents
        Preface.

        Terminology.

        List of Symbols and Acronyms.

        1 Introduction and Literature Survey.

        1.1 Introduction.

        1.2 Computational Processes Based on Biological Principles.

        1.2.1 Modeling Biological Processes.

        1.2.2 Artificial Neural Networks.

        1.3 Molecular and Biomolecular Electronics.

        1.3.1 Motivation.

        1.3.2 Molecular Electronics.

        1.3.3 Biomolecular Electronics.

        1.4 Biochemical Devices Based on Enzymic Reactions.

        1.5 Oscillations in Biochemical Systems.

        1.6 Kinetic Characteristics of Cyclic Enzyme Systems.

        2 Background and Goals of This Study.

        3 Materials and Methods.

        3.1 Materials.

        3.2 Instruments.

        3.3 Experimental Methods.

        3.3.1 Determination of Kinetic Constants.

        3.3.2 Determination of the Inhibition Constant for Inhibition of Glutathione Reductase by Glucose-6-Phosphate.

        3.3.3 Immobilization on Affi-Gel 10.

        3.3.4 Assay for Glucose-6-Phosphate Dehydrogenase.

        3.3.5 Assay for Glutathione Reductase.

        3.4 Computational Methods.

        4 Results.

        4.1 The Basic System: Theoretical Considerations and Results.

        4.1.1 Characteristics of the Basic System.

        4.1.2 The Basic System as an Information-Processing Unit.

        4.1.3 Analytical Models for the Basic System.

        4.1.4 Results of Numerical Simulations for the Basic System.

        4.2 Neural Network–Type Biochemical Systems for Information Processing.

        4.2.1 Network A.

        4.2.2 Network B.

        4.2.3 Network C.

        4.3 The Basic System: Experimental Results.

        4.3.1 Deciding on the Experimental System.

        4.3.2 Kinetic Study of the Experimental System.

        4.3.3 Control of the Input Signal.

        4.3.4 The Basic System in a Fed-Batch Reactor.

        4.3.5 Internal Inhibition in the Basic System.

        4.3.6 Prediction of the Analytical Model Considering Internal Inhibition in a Fed-Batch Reactor.

        4.3.7 Immobilization of G6PDH and GR.

        4.3.8 The Basic System in a Packed Bed Reactor.

        4.4 The Extended Basic System: Theoretical Considerations and Results.

        4.4.1 Characteristics of the Extended Basic System.

        4.4.2 The Extended Basic System as an Information-Processing Unit.

        4.4.3 Analytical Model for the Extended Basic System.

        4.4.4 Results of Numerical Simulations for the Extended Basic System.

        5 Discussion.

        5.1 The Basic System.

        5.1.1 Fed-Batch Reactor: Numerical Simulations.

        5.1.2 Continuous Reactor: Numerical Simulations.

        5.1.3 Assessment of Experimental Results.

        5.2 The Extended Basic System.

        5.3 Biochemical Networks.

        5.4 Comparing Artificial Neural Networks with Biochemical Networks.

        5.5 Comparing Biochemical Networks to Computational Models.

        6 Conclusions.

        References.

        Index.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account