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Modelling Metabolism with Mathematica (Hardcover, New) Loot Price: R7,192
Discovery Miles 71 920
Modelling Metabolism with Mathematica (Hardcover, New): Peter Mulquiney, Philip W. Kuchel

Modelling Metabolism with Mathematica (Hardcover, New)

Peter Mulquiney, Philip W. Kuchel

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Loot Price R7,192 Discovery Miles 71 920 | Repayment Terms: R674 pm x 12*

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With the advent of sophisticated general programming environments like Mathematica, the task of developing new models of metabolism and visualizing their responses has become accessible to students of biochemistry and the life sciences in general. Modelling Metabolism with Mathematica presents the approaches, methods, tools, and algorithms for modelling the chemical-dynamics of metabolic pathways. The authors explain the concepts underpinning the deterministic theory of chemical and enzyme kinetics, present a graded series of computer models of metabolic pathways leading up to that of the human erythrocyte, and document a consistent set of rate equations and associated kinetic parameters.

The experimental and theoretical study of metabolism in mammalian cells has a long and fruitful history, but our understanding of cellular metabolism at the molecular level is far from complete. This book enables its readers to formulate their own models of time-dependent metabolic systems and aids them in the quest for the many fundamental and clinically relevant discoveries that remain to be made.

General

Imprint: Crc Press
Country of origin: United States
Release date: May 2003
First published: 2003
Authors: Peter Mulquiney • Philip W. Kuchel
Dimensions: 234 x 156 x 24mm (L x W x T)
Format: Hardcover
Pages: 328
Edition: New
ISBN-13: 978-0-8493-1468-1
Categories: Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Medicine > General issues > Medical equipment & techniques > General
Books > Science & Mathematics > Biology, life sciences > Biochemistry > General
Books > Computing & IT > Computer software packages > Computer graphics software > General
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LSN: 0-8493-1468-2
Barcode: 9780849314681

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