Amazon cover image
Image from Amazon.com

Computational modeling of signaling networks / edited by Xuedong Liu, Meredith D. Betterton.

Contributor(s): Liu, Xuedong | Betterton, Meredith DMaterial type: TextTextSeries: Methods in molecular biology (Clifton, N.J.) ; v. 880. | Springer protocols (Series)Publication details: New York : Humana Press, ©2012. Description: 1 online resource (xiv, 327 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9781617798337; 1617798339Subject(s): Cellular signal transduction | Cell interaction | Cell Communication | Signal Transduction | Computational Biology -- methods | Models, Biological | Cell interaction | Cellular signal transduction | moleculaire biologie | molecular biology | celbiologie | cellular biology | modelleren | modeling | Molecular Biology (General) | Moleculaire biologie (algemeen)Genre/Form: Laboratory Manual. | Electronic books. Additional physical formats: Print version:: Computational modeling of signaling networks.DDC classification: 571.74 LOC classification: QP517.C45 | C66 2012ebNLM classification: W1 | QU 26.5Online resources: Click here to access online
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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library

Electronic Book@IST

EBook Available
Total holds: 0

Includes bibliographical references and index.

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.

Print version record.

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.

English.

Powered by Koha