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 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, therefore, can be organized into the neural network–type 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:
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Addresses network-type connectivity, considered to be a key feature underlying the information processing ability of the brain
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Describes novel scientific achievements, and serves as an aid for those interested in further developing biochemical systems that will perform information-processing functions
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Provides a viable approach for furthering progress in the area of molecular electronics and biocomputing
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Includes results obtained in experimental studies involving a variety of real enzyme systems
Information Processing by Biochemical Systems is intended for graduate students and professionals, as well as biotechnologists.
Author(s): Orna Filo, Noah Lotan
Publisher: Wiley
Year: 2009
Language: English
Pages: 169
Tags: Биологические дисциплины;Матметоды и моделирование в биологии;Биоинформатика;
INFORMATION PROCESSING BY BIOCHEMICAL SYSTEMS......Page 4
CONTENTS......Page 10
Preface......Page 14
Terminology......Page 16
List of Symbols and Acronyms......Page 18
1.1 Introduction......Page 22
1.2.2 Artificial Neural Networks......Page 23
1.3.1 Motivation......Page 25
1.3.3 Biomolecular Electronics......Page 26
1.4 Biochemical Devices Based on Enzymic Reactions......Page 27
1.6 Kinetic Characteristics of Cyclic Enzyme Systems......Page 44
2 Background and Goals of This Study......Page 48
3.1 Materials......Page 52
3.3.1 Determination of Kinetic Constants......Page 56
3.3.3 Immobilization on Affi-Gel 10......Page 61
3.3.5 Assay for Glutathione Reductase......Page 62
3.4 Computational Methods......Page 63
4.1.1 Characteristics of the Basic System......Page 64
4.1.2 The Basic System as an Information-Processing Unit......Page 65
4.1.3 Analytical Models for the Basic System......Page 66
4.1.4 Results of Numerical Simulations for the Basic System......Page 74
4.2 Neural Network–Type Biochemical Systems for Information Processing......Page 99
4.2.1 Network A......Page 101
4.2.2 Network B......Page 107
4.2.3 Network C......Page 114
4.3 The Basic System: Experimental Results......Page 118
4.3.1 Deciding on the Experimental System......Page 119
4.3.2 Kinetic Study of the Experimental System......Page 120
4.3.3 Control of the Input Signal......Page 123
4.3.4 The Basic System in a Fed-Batch Reactor......Page 124
4.3.5 Internal Inhibition in the Basic System......Page 126
4.3.6 Prediction of the Analytical Model Considering Internal Inhibition in a Fed-Batch Reactor......Page 128
4.3.7 Immobilization of G6PDH and GR......Page 132
4.3.8 The Basic System in a Packed Bed Reactor......Page 133
4.4.2 The Extended Basic System as an Information-Processing Unit......Page 136
4.4.3 Analytical Model for the Extended Basic System......Page 137
4.4.4 Results of Numerical Simulations for the Extended Basic System......Page 138
5.1 The Basic System......Page 146
5.1.3 Assessment of Experimental Results......Page 147
5.3 Biochemical Networks......Page 148
5.5 Comparing Biochemical Networks to Computational Models......Page 150
6 Conclusions......Page 156
References......Page 158
Index......Page 168
