Information Processing by Biochemical Systems : Neural Network-Type Configurations /

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Describes fully delineated biochemical systems, organized as neural network-type 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, therefor...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Filo, Orna
Otros Autores: Lotan, Noah
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : John Wiley & Sons, ©2010.
Temas:
Biocomputers.
Neural networks (Computer science)
Information technology.
Electronic data processing.
Computer science.
Electronic Data Processing
Biochemical Phenomena
Neural Networks, Computer
Bio-ordinateurs.
Réseaux neuronaux (Informatique)
Technologie de l'information.
Informatique.
information technology.
computer science.
data processing.
COMPUTERS > Neural Networks.
Electronic data processing
Computer science
Biocomputers
Information technology
Biocomputer > Neuronales Netz.
Neuronales Netz > Biocumputer.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright Page
  • 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 Network8230;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.

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