Receptors: Models for Binding, Trafficking, and Signaling

Download Receptors: Models for Binding, Trafficking, and Signaling PDF by Douglas A. Lauffenburger, Jennifer Linderman eBook or Kindle ePUB Online free. Receptors: Models for Binding, Trafficking, and Signaling A book for the modern biologist A Customer This book will surely be thought of as the first structured presentation of principles of modern systems biology. This book introduces the application of Chemical Engineering to biologists and molecular biology and pharmacology of receptors to Chemical Engineers. The top-down picture of coupled processes is not only new to biologists but introduces a whole new way to look. Excellent kinetics book If you are thinking of purchasing a book on receptor-liga

Receptors: Models for Binding, Trafficking, and Signaling

Author :
Rating : 4.36 (546 Votes)
Asin : 0195064666
Format Type : paperback
Number of Pages : 376 Pages
Publish Date : 2013-07-09
Language : English

DESCRIPTION:

A book for the modern biologist A Customer This book will surely be thought of as the first structured presentation of principles of modern systems biology. This book introduces the application of Chemical Engineering to biologists and molecular biology and pharmacology of receptors to Chemical Engineers. The top-down picture of coupled processes is not only new to biologists but introduces a whole new way to look. Excellent kinetics book If you are thinking of purchasing a book on receptor-ligand kinetics, this is a wise choice. It is easy to follow and advanced enough for most graduate work in biochemical and biomedical engineering.. "A magnificent book on receptors" according to Nick McNutt. Paid a ton of money to overnight this thing, have only ever read one page of it, and in fact I don't even really know what it's about, but it's perhaps the most important $86.A magnificent book on receptors Paid a ton of money to overnight this thing, have only ever read one page of it, and in fact I don't even really know what it's about, but it's perhaps the most important $86.37 that I've ever invested in my future. Thank you Dr. Lauffenburger.. 7 that I've ever invested in my future. Thank you Dr. Lauffenburger.

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. 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.. 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. 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 prol

Lauffenburger is at University of Illinois, Urbana. Douglas A. Jennifer Linderman is at University of Michigan, Ann Arbor.

conceptually rich, timely, and useful." --Biology Digest. 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. "Bridges the gap between chemical engineering and cell biology by lucidly and practically demonstrating how a mathematical modelling approach combines with quantitative experiments can provide enhanced understanding of cell phenomena involving receptor/ligand interactions

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