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Synopsis
Understanding Biochemical Pathways: A Pattern-Recognition Approach provides students with a clear methodology for understanding metabolic processes, with an emphasis on human metabolic processes. It focuses on specific pathways of carbohydrate and lipid metabolism that illustrate how to apply this pattern-recognition approach.
This text presents a "basic recipe" of metabolism to illustrate the general sequence of reactions that are carried out in biochemical pathways to move from one oxidation state of carbon to another. The goal is to give the reader the ability to look at a reaction and determine the type of reaction based on the differences in reactants and products, identify the type of enzyme that would catalyze the reaction, and then name the enzyme based on enzyme naming rules.
The second edition features new Check Your Knowledge boxes and content summaries within each chapter. The text also features new content in Chapter 2 on the pawn shop model of metabolism to explain relationships between prominent metabolic pathways.
Understanding Biochemical Pathways is an excellent resource for courses and programs in biochemistry, nutrition, medicine, and nursing.
"synopsis" may belong to another edition of this title.
About the Author
Carol A. Wilkins earned her Ph.D. in biochemistry at Michigan State University, East Lansing, where she is now a faculty member in the Department of Biochemistry and Molecular Biology. She serves as a semester director for the MSU College of Osteopathic Medicine. Dr. Wilkins developed and teaches a two-semester online graduate course for the MSU Biomedical Laboratory Diagnostics Program. Her writing has appeared in Biophysical Chemistry and FEMS Microbiology Ecology.
"About this title" may belong to another edition of this title.
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Understanding Biochemical Pathways: A Pattern-Recognition Approach
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Cognella Academic Publishing (edition ), 2021
ISBN 10: 1793510628
ISBN 13: 9781793510624
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Understanding Biochemical Pathways: A Pattern-Recognition Approach
Published by
Cognella Academic Publishing (edition ), 2021
ISBN 10: 1793510628
ISBN 13: 9781793510624
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Understanding Biochemical Pathways: A Pattern-Recognition Approach
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ISBN 10: 1793510628
ISBN 13: 9781793510624
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Understanding Biochemical Pathways: A Pattern-Recognition Approach
Published by
Cognella Academic Publishing, 2021
ISBN 10: 1793510628
ISBN 13: 9781793510624
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Understanding Biochemical Pathways
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Paperback. Condition: New. Second Edition. Understanding Biochemical Pathways: A Pattern-Recognition Approach provides students with a clear methodology for understanding metabolic processes, with an emphasis on human metabolic processes. It focuses on specific pathways of carbohydrate and lipid metabolism that illustrate how to apply this pattern-recognition approach.This text presents a "basic recipe" of metabolism to illustrate the general sequence of reactions that are carried out in biochemical pathways to move from one oxidation state of carbon to another. The goal is to give the reader the ability to look at a reaction and determine the type of reaction based on the differences in reactants and products, identify the type of enzyme that would catalyze the reaction, and then name the enzyme based on enzyme naming rules.The second edition features new Check Your Knowledge boxes and content summaries within each chapter. The text also features new content in Chapter 2 on the pawn shop model of metabolism to explain relationships between prominent metabolic pathways. Understanding Biochemical Pathways is an excellent resource for courses and programs in biochemistry, nutrition, medicine, and nursing. Seller Inventory # LU-9781793510624
Quantity: Over 20 available
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Understanding Biochemical Pathways: A Pattern-Recognition Approach
Published by
Cognella Academic Publishing, 2021
ISBN 10: 1793510628
ISBN 13: 9781793510624
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Understanding Biochemical Pathways: A Pattern-Recognition Approach
Published by
Cognella Academic Publishing, 2021
ISBN 10: 1793510628
ISBN 13: 9781793510624
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Understanding Biochemical Pathways: A Pattern-Recognition Approach
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