
As an Amazon Associate and affiliate partner, Menrva Books earns from qualifying purchases. Learn more
Receptors: Models For Binding, Trafficking, And Signaling Bridges The Gap Between Chemical Engineering And Cell Biology By Lucidly And Practically Demonstrating How A Mathematical Modeling Approach Combined With Quantitative Experiments Can Provide Enhanced Understanding Of Cell Phenomena Involving Receptor/ligand Interactions. In Stressing The Need For A Quantitative Understanding Of How Receptor-mediated Cell Functions Depend On Receptor And Ligand Properties, The Book Offers Comprehensive Treatments Of Both Basic And State-of-the-art Model Frameworks That Span The Entire Spectrum Of Receptor Processes--from Fundamental Cell Surface Binding, Intracellular Trafficking, And Signal Transduction Events To The Cell Behavioral Functions They Govern, Including Proliferation, Adhesion, And Migration. The Book Emphasizes Mechanistic Models That Are Accessible To Experimental Testing And Includes Detailed Examples Of Important Contemporary Issues. This Much-needed Book Introduces Chemical Engineers And Bioengineers To Important Problems In Receptor Biology And Familiarizes Cell Biologists With The Insights That Can Be Gained From Engineering Analysis And Synthesis. As Such, Chemical Engineers, Researchers, And Advanced Students In The Fields Of Biotechnology, Biomedical Sciences, Bioengineering, And Molecular Cell Biology Will Find This Book To Be Conceptually Rich, Timely, And Useful.
This book investigates how mathematical modeling and quantitative analysis can bridge the gap between chemical engineering principles and complex cell biology phenomena. Authors Douglas A. Lauffenburger and Jennifer Linderman, both experts in bioengineering, present a framework that integrates receptor-ligand interaction data with mechanistic models. By applying engineering analysis to biological systems, the text provides a structured approach to understanding how receptor properties dictate cellular behavior and signal transduction.
What You Will Find
Experts recognize this text as a foundational resource for researchers and students working at the intersection of chemical engineering and cell biology. Readers frequently note the technical density of the prose, which serves as a rigorous guide for those seeking to apply quantitative modeling to biological systems.
Page Count:
376
Publication Date:
1996-01-01
Publisher:
Oxford University Press USA
ISBN-10:
0198022948
ISBN-13:
9780198022947
No comments yet. Be the first to share your thoughts!