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Title Computational modeling of signaling networks / edited by Xuedong Liu, Meredith D. Betterton.
Imprint New York : Humana Press, ©2012.


 Internet  Electronic Book    AVAILABLE
Description 1 online resource (xiv, 327 pages) : illustrations (some color)
Series Methods in molecular biology, 1064-3745 ; 880
Springer protocols
Methods in molecular biology (Clifton, N.J.) ; v. 880. 1064-3745
Springer protocols (Series)
Bibliog. Includes bibliographical references and index.
Note Available only to authorized UTEP users.
Print version record.
Subject Cellular signal transduction.
Cell interaction.
Cell Communication.
Signal Transduction.
Computational Biology -- methods.
Models, Biological.
moleculaire biologie
molecular biology
cellular biology
Molecular Biology (General)
Moleculaire biologie (algemeen)
Genre Laboratory Manual.
Contents Predictive models for cellular signaling networks / Dagmar Iber and Georgios Fengos -- Analyzing and constraining signaling networks : parameter estimation for the user / Florian Geier [and others] -- A tutorial on mathematical modeling of biological signaling pathways / Zhike Zi -- Bistability iin one equation or fewer / Graham A. Anderson, Xuedong Liu, and James E. Ferrell, Jr. -- Mathematical investigation of how oncogenic Ras mutants promote Ras signaling / Edward C. Stites and Kodi S. Ravichandran -- Modeling miRNA regulation in cancer signaling systems : miR-34a regulation of the p53/Sirt1 signaling module / Xin Lai, Olaf Wolkenhauer, and Julio Vera -- Design of experiments to investigate dynamic cell signaling models / Samuel Bandara and Tobias Meyer -- Mathematical modeling of biochemical systems with PottersWheel / Thomas Maiwald, Oliver Eberhardt, and Julie Blumberg -- Rule-based modeling of signal transduction : a primer / John A.P. Sekar and James R. Faeder -- Computational modeling of signal transduction networks : a pedagogical exposition / Ashok Prasad -- Modeling spatiotemporal dynamics of bacterial populations / Hao Song and Lingchong You -- Discrete dynamic modeling of signal transduction networks / Assieh Saadatpour and Réka Albert -- Analytic methods for modeling stochastic regulatory networks / Aleksandra M. Walczak, Andrew Mugler, and Chris H. Wiggins.
Summary Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In, Computational Modeling of Signaling Networks: Methods and Protocols, expert researchers in the field provide key techniques to study signaling networks. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs, and how to use modeling to plan experiments. Written in the highly successful Methods in Molecular Biology series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Computational Modeling of Signaling Networks: Methods and Protocols aids scientists in continuing study of how signaling networks behave in space and time to generate specific biological responses and how those responses impact biology and medicine.
Other Author Liu, Xuedong.
Betterton, Meredith D.
Other Title Print version: Computational modeling of signaling networks. New York : Humana Press, ©2012 9781617798320