Computational Modeling of Signaling Networks

Meredith D. Betterton

ISBN 10: 1617798320 / ISBN 13: 9781617798320

Editore: Humana Press Jun 2012, 2012

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This item is printed on demand - it takes 3-4 days longer - Neuware -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(TM) 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. 344 pp. Englisch.

Codice articolo 9781617798320

Dati bibliografici

• Titolo: Computational Modeling of Signaling Networks
• Editore: Humana Press Jun 2012
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1617798320
• ISBN 13: 9781617798320
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 260 L x 183 A x 22 P (millimetri) 260 millimetri di larghezza per 183 millimetri di altezza per 22 millimetri di profondità
• Peso: 845 grammi

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Riassunto

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.