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Condition: New. pp. 328.
Condition: New.
Condition: New. pp. 328.
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Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367395223 ISBN 13: 9780367395223
Language: English
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 189.
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Published by Taylor & Francis Group, 2019
ISBN 10: 0849314682 ISBN 13: 9780849314681
Language: English
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Condition: New. pp. 328 1st Edition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Taylor & Francis Group, 2019
ISBN 10: 0849314682 ISBN 13: 9780849314681
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 328.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 1st edition. 328 pages. 9.25x6.50x1.00 inches. In Stock.
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mulquiney, Peter Kuchel, Philip W.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 biochemist.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Modelling Metabolism with Mathematica | Peter Mulquiney (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | CRC Press | EAN 9780367395223 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Using the human erythrocyte as an example, this book 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 in such a way that readers will be able to formulate their own models of time-dependent metabolic systems. They present a graded series of computer models of metabolic pathways leading up to that of human erythrocyte metabolism, and they document a consistent set of rate equations and associated kinetic parameters relevant to the human erythrocyte, which makes the book of particular interest to readers involved with red cell enzymology.
Published by Taylor & Francis Group, 2019
ISBN 10: 0849314682 ISBN 13: 9780849314681
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: moluna, Greven, Germany
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mulquiney, Peter Kuchel, Philip W.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 biochemist.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.