Information Processing by Biochemical Systems (PDF)
Neural Network-Type Configurations
(Sprache: Englisch)
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...
Perform Information Processing Functions
Information Processing by Biochemical Systems describes
fully delineated biochemical systems, organized as neural
network-type assemblies. It...
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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:
* 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 further developing biochemical systems that
will perform information-processing functions
* Provides a viable approach for furthering progress in the area
of molecular electronics and biocomputing
* 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.
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:
* 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 further developing biochemical systems that
will perform information-processing functions
* Provides a viable approach for furthering progress in the area
of molecular electronics and biocomputing
* 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.
Inhaltsverzeichnis zu „Information Processing by Biochemical Systems (PDF)“
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
... mehr
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.
... weniger
Autoren-Porträt von Orna Filo, Noah Lotan
ORNA FILO, PhD, has over ten years of experience in themedical equipment industry, developing various diagnostic imaging
technologies. She held various positions in R&D and clinical
affairs, including management of clinical studies, clinical support
to R&D and marketing, development of clinical studies
protocols, and data analysis. Dr. Filo currently owns a company
that develops tools for assessment of spine deformities.
NOAH LOTAN, PhD, is a chemical engineer by basic
training. He was appointed Professor of Biomedical Engineering at
the Technion - Israel Institute of Technology. Dr. Lotan has
been a visiting scientist at universities in the United States,
France, Germany, Italy, Switzerland, the United Kingdom, and
Mexico.
Bibliographische Angaben
- Autoren: Orna Filo , Noah Lotan
- 2010, 1. Auflage, 150 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470552670
- ISBN-13: 9780470552674
- Erscheinungsdatum: 12.01.2010
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