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Domitilla Del Vecchio Richard Murray Biomolecular Feedback Systems (Hardback)

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Biomolecular Feedback Systems
Publication Name
Biomolecular Feedback Systems
Title
Biomolecular Feedback Systems
Author
Richard M. Murray, Domitilla Del Vecchio
Format
Hardcover
ISBN-10
0691161534
EAN
9780691161532
ISBN
9780691161532
Publisher
Oxford University Press, Incorporated
Genre
Science Nature & Math
Release Year
2014
Release Date
26/10/2014
Language
English
Country/Region of Manufacture
US
Item Height
0.1in
Item Length
0.1in
Item Weight
0.1 Oz
Publication Year
2014
Type
Textbook
Item Width
0.1in
Number of Pages
288 Pages

About this product

Product Information

This book provides an accessible introduction to the principles and tools for modeling, analyzing, and synthesizing biomolecular systems. It begins with modeling tools such as reaction-rate equations, reduced-order models, stochastic models, and specific models of important core processes. It then describes in detail the control and dynamical systems tools used to analyze these models. These include tools for analyzing stability of equilibria, limit cycles, robustness, and parameter uncertainty. Modeling and analysis techniques are then applied to design examples from both natural systems and synthetic biomolecular circuits. In addition, this comprehensive book addresses the problem of modular composition of synthetic circuits, the tools for analyzing the extent of modularity, and the design techniques for ensuring modular behavior. It also looks at design trade-offs, focusing on perturbations due to noise and competition for shared cellular resources.Featuring numerous exercises and illustrations throughout, Biomolecular Feedback Systems is the ideal textbook for advanced undergraduates and graduate students. For researchers, it can also serve as a self-contained reference on the feedback control techniques that can be applied to biomolecular systems.Provides a user-friendly introduction to essential concepts, tools, and applicationsCovers the most commonly used modeling methodsAddresses the modular design problem for biomolecular systemsUses design examples from both natural systems and synthetic circuitsSolutions manual (available only to professors at press.princeton.edu)An online illustration package is available to professors at press.princeton.edu"

Product Identifiers

Publisher
Oxford University Press, Incorporated
ISBN-10
0691161534
ISBN-13
9780691161532
eBay Product ID (ePID)
175209739

Product Key Features

Author
Richard M. Murray, Domitilla Del Vecchio
Publication Name
Biomolecular Feedback Systems
Format
Hardcover
Language
English
Publication Year
2014
Type
Textbook
Number of Pages
288 Pages

Dimensions

Item Length
0.1in
Item Height
0.1in
Item Width
0.1in
Item Weight
0.1 Oz

Additional Product Features

Lc Classification Number
Qp360.5.D45 2015
Reviews
"The authors did superbly in combining the biophysical processes and corresponding mathematics. . . . This book serves both as a primer and a reference for constructing synthetic biological circuits with special focus on biomolecular feedback. It nicely bridges the gap between fields with a concise biological introduction, and approachable mathematics." --Harold Bien and Gábor Balázsi, Quarterly Review of Biology, This book promises much for the reader with a background in both biochemistry and mathematics. Such a reader will not only learn how to analyse models for bioengineered bimolecular systems but they will have the insights to both build these systems and to 'tune' the biochemistry to obtain desired parameter values. ---Mark Nelson, Gazette of the Australian Mathematical Society, "This is an excellent compendium of the most important techniques and results in the application of feedback and control to biomolecular systems. Biomolecular Feedback Systems is very timely, and a must-read for students and researchers." --Ernesto Estrada, University of Strathclyde, "This book promises much for the reader with a background in both biochemistry and mathematics. Such a reader will not only learn how to analyse models for bioengineered bimolecular systems but they will have the insights to both build these systems and to 'tune' the biochemistry to obtain desired parameter values." --Mark Nelson, Gazette of the Australian Mathematical Society, The authors did superbly in combining the biophysical processes and corresponding mathematics. . . . This book serves both as a primer and a reference for constructing synthetic biological circuits with special focus on biomolecular feedback. It nicely bridges the gap between fields with a concise biological introduction, and approachable mathematics. ---Harold Bien and Gábor Balázsi, Quarterly Review of Biology, "This book promises much for the reader with a background in both biochemistry and mathematics. Such a reader will not only learn how to analyse models for bioengineered bimolecular systems but they will have the insights to both build these systems and to 'tune' the biochemistry to obtain desired parameter values." ---Mark Nelson, Gazette of the Australian Mathematical Society, "The authors did superbly in combining the biophysical processes and corresponding mathematics. . . . This book serves both as a primer and a reference for constructing synthetic biological circuits with special focus on biomolecular feedback. It nicely bridges the gap between fields with a concise biological introduction, and approachable mathematics." --Harold Bien and Gbor Balzsi, Quarterly Review of Biology, "The authors did superbly in combining the biophysical processes and corresponding mathematics. . . . This book serves both as a primer and a reference for constructing synthetic biological circuits with special focus on biomolecular feedback. It nicely bridges the gap between fields with a concise biological introduction, and approachable mathematics." ---Harold Bien and Gábor Balázsi, Quarterly Review of Biology
Copyright Date
2015
Topic
Cognitive Neuroscience & Cognitive Neuropsychology, Life Sciences / Biology
Lccn
2014-013061
Dewey Decimal
612.8/233
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Genre
Psychology, Science

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