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This book developed from a series of conferences to facilitate the
application of mathematical modeling to experimental nutrition. As
nutrition science moves from prevention of gross deficiencies to
identifying requirements for optimum long term health, more
sophisticated methods of nutritional assessment will be needed.
Collection and evaluation of kinetic data may be one such
method.
This books opens with chapters giving specific examples of the
application of modeling techniques to vitamin A, carotenoids,
folate, vitamin b-6, glycogen phosphorylase, transthyretin, amino
acids, and energy metabolism. Obtaining kinetic data on internal
processes is a major challenge; therefore, the text includes
chapters on the use of microdialysis and ultrafiltration, use of
membrane vesicles, and culture of mammary tissue.
Many of the authors use the Simulation, Analysis and Modeling
program which allows compartmental models to be described without
specifying the required differential equations. The final sections
of the book, however, present some more mathematical descriptions
of physiological processes, including bioperiodicity, metabolic
control, and membrane transport; discussions of some computational
aspects of modeling such as parameter distributions, linear
integrators and identifiability; and alternative mathematical
approaches such as neural networks and graph theory.
Key Features
* Specific, detailed examples of applications of modeling to
vitamins, proteins, amino acids, and energy metabolism
* Novel methods for collecting kinetic data--microdialysis,
ultrafiltration, membrane vesicles, and the culture of mammary
tissue
* Mathematical treatment of complex metabolic processes including
bioperiodicity, metabolic control, and membrane transport
* Computational approaches to distribution of kinetic parameters,
evaluation of linear integrators, and identifiability
* Alternative mathematical approaches--neural networks and graph
theory
Detailed descriptions of the application of modeling to a variety
of nutrients
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