Modeling Metabolism with Mathematica analysis of human erythrocyte metabolism
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 a...
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Format: | Book |
Language: | English |
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Boca Raton, FL
CRC Press
2003
©2003 |
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Online Access: | Click Here to View Status and Holdings. |
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041 | 0 | # | |a eng |
090 | 0 | 0 | |a QH634.5 |b .M85 2003 |
100 | 1 | # | |a Mulquiney, Peter J |e author |
245 | 1 | 1 | |a Modeling Metabolism with Mathematica |b analysis of human erythrocyte metabolism |c Peter J. Mulquiney, Philip W. Kuchel |
260 | # | # | |e 1 compact disk |
264 | # | 1 | |a Boca Raton, FL |b CRC Press |c 2003 |
264 | # | 1 | |c ©2003 |
300 | # | # | |a 309 pages |b illustrations |c 23 cm |
336 | # | # | |a text |2 rdacontent |
337 | # | # | |a unmediated |2 rdamedia |
338 | # | # | |a volume |2 rdacarrier |
504 | # | # | |a Includes bibliographical references and index |
520 | # | # | |a 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. |
650 | # | 0 | |a Cell metabolism |x Computer simulation |
650 | # | 0 | |a Enzyme kinetics |x Computer simulation |
650 | # | 0 | |a Erythrocytes |x Computer simulation |
650 | # | 0 | |a Mathematica (Computer program language) |
700 | 1 | # | |a Kuchel, Philip W |
856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=314905 |
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