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Design and Analysis of Biomolecular Circuits: Engineering Approaches to Systems and Synthetic Biology 2011 ed. [Kietas viršelis]

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  • Formatas: Hardback, 402 pages, aukštis x plotis: 235x155 mm, weight: 781 g, XIII, 402 p., 1 Hardback
  • Išleidimo metai: 30-May-2011
  • Leidėjas: Springer-Verlag New York Inc.
  • ISBN-10: 1441967656
  • ISBN-13: 9781441967657
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 402 pages, aukštis x plotis: 235x155 mm, weight: 781 g, XIII, 402 p., 1 Hardback
  • Išleidimo metai: 30-May-2011
  • Leidėjas: Springer-Verlag New York Inc.
  • ISBN-10: 1441967656
  • ISBN-13: 9781441967657
Kitos knygos pagal šią temą:
Dealing with the engineering aspects of the two emerging and intertwined fields of synthetic and systems biology, this book reflects the promise they hold to revolutionize the way molecular biology research, drug discovery, and bio-engineering are done.

The book deals with engineering aspects of the two emerging and intertwined fields of synthetic and systems biology. Both fields hold promise to revolutionize the way molecular biology research is done, the way today's drug discovery works and the way bio-engineering is done. Both fields stress the importance of building and characterizing small bio-molecular networks in order to synthesize incrementally and understand large complex networks inside living cells. Reminiscent of computer-aided design (CAD) of electronic circuits, abstraction is believed to be the key concept to achieve this goal. It allows hiding the overwhelming complexity of cellular processes by encapsulating network parts into abstract modules. This book provides a unique perspective on how concepts and methods from CAD of electronic circuits can be leveraged to overcome complexity barrier perceived in synthetic and systems biology.

Recenzijos

From the reviews:

This collection of papers is an excellent reference for anyone who would like to learn more about the engineering and computing side of systems and synthetic biology. this clear and detailed volume will help to introduce mathematicians, engineers, and computer scientists to an application of their fields in biology. It will also serve biologists who want to know more about how in silico technologies can be an important part of the arsenal used to understand and create biological systems. (Sara Kalvala, ACM Computing Reviews, June, 2012)

Part I Analysis and Simulation
1 Continuous Time Markov Chain Models for Chemical Reaction Networks
3(40)
David F. Anderson
Thomas G. Kurtz
2 Stochastic Simulation for Spatial Modelling of Dynamic Processes in a Living Cell
43(20)
Kevin Burrage
Pamela M. Burrage
Andre Leier
Tatiana Marquez-Lago
Dan V. Nicolau, Jr
3 Graph-Theoretic Analysis of Multistability and Monotonicity for Biochemical Reaction Networks
63(10)
Gheorghe Craciun
Casian Pantea
Eduardo D. Sontag
4 From Structure to Dynamics in Biological Networks
73(20)
Murad Banaji
5 Contraction Theory for Systems Biology
93(24)
Giovanni Russo
Mario di Bernardo
Jean Jacques Slotine
Part II Modularity and Abstraction
6 Toward Modularity in Synthetic Biology: Design Patterns and Fan-out
117(22)
Kyung Hyuk Kim
Deepak Chandran
Herbert M. Sauro
7 Retroactivity as a Criterion to Define Modules in Signaling Networks
139(22)
Julio Saez-Rodriguez
Holger Conzelmann
Michael Ederer
Ernst Dieter Gilles
8 The Impact of Retroactivity on the Behavior of Biomolecular Systems
161(22)
Domitilla Del Vecchio
9 Modularity, Retroactivity, and Structural Identification
183(20)
Eduardo D. Sontag
Part III Design and Standardization
10 Computer-Aided Design for Synthetic Biology
203(22)
Deepak Chandran
Frank T. Bergmann
Herbert M. Sauro
Douglas Densmore
11 High-Level Programming Languages for Biomolecular Systems
225(28)
Jacob Beal
Andrew Phillips
Douglas Densmore
Yizhi Cai
12 Rational Design of Robust Biomolecular Circuits: from Specification to Parameters
253(28)
Marc Hafner
Tatjana Petrov
James Lu
Heinz Koeppl
13 Data Model Standardization for Synthetic Biomolecular Circuits and Systems
281(14)
Michal Galdzicki
Deepak Chandran
John H. Gennari
Herbert M. Sauro
14 DNA Assembly Method Standardization for Synthetic Biomolecular Circuits and Systems
295(22)
Nathan J. Hillson
Part IV Enabling Technologies
15 Gene Synthesis -- Enabling Technologies for Synthetic Biology
317(20)
Michael Liss
Ralf Wagner
16 On the Construction of Minimal Cell Models in Synthetic Biology and Origins of Life Studies
337(32)
Pasquale Stano
Pier Luigi Luisi
17 Fluorescent-Based Quantitative Measurements of Signal Transduction in Single Cells
369(26)
Serge Pelet
Matthias Peter
Index 395