Author: Peter Mulquiney
Edition: 1
Publisher: CRC Press
Binding: Hardcover
ISBN: 0849314682
Modelling Metabolism with Mathematica
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. Medical books Modelling Metabolism with Mathematica. 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 Medical books Modelling Metabolism with Mathematica. Categories: Mathematica (Computer program language), Cell metabolism->Computer simulation. Contributors: Peter Mulquiney - Author. Format: Hardcover
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Categories: Mathematica (Computer program language), Cell metabolism->Computer simulation. Contributors: Peter Mulquiney - Author. Format: Hardcover
Store Search search Title, ISBN and Author Modelling Metabolism with Mathematica by Philip W. Kuchel, Peter J. Mulquiney Estimated delivery 3-12 business days Format Hardcover Condition Brand New 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 appr
author peter mulquinery author peter mulquiney author philip w kuchel format hardback language english publication year 14 05 2003 subject medicine subject 2 medical nursing ancillary services title modelling metabolism with mathematica detailed examples including erythrocyte metabolism author mulquiney peter author kuchel philip w author publisher crc pr i llc publication date may 01 2003 pages 328 binding hardcover edition 1 st dimensions 6 50 wx 9 25 hx 1 00 d isbn 0849314682 subject scienc
"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 hum
Medical Book Modelling Metabolism with Mathematica
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.
