Understanding the Dynamics of Biological Systems - Lessons Learned from Integrative Systems Biology

This book is intended as a communication platform to bridge the cultural, conceptual, and technological gap among the key systems biology disciplines of biology, mathematics, and information technology. To support this goal, contributors were asked to adopts an approach that appeals to audiences from different backgrounds.

List of contents

Preface.- Effects of Protein Quality Control Machinery on Protein Homeostasis.- Metabolic Network Dynamics: Properties and Principles.- A Deterministic, Mathematical Model for Hormonal Control of the Menstrual Cycle.- Modelling Transport Processes and their Implications for Chemical Disposition and Action.- Systems Biology of Tuberculosis: Insights for Drug Discovery.- Qualitative Analysis of Genetic Regulatory Networks in Bacteria.- Modelling Antibiotic Resistance in Bacterial Colonies Using Agent-Based Approach.- Modelling the Spatial Pattern Forming Modules in Mitotic Spindle Assembly.- Cell-Centred Modelling of Tissue Behaviour.- Interaction-Based Simulations for Integrative Spatial Systems Biology.- Glossary.- Index.

Summary

This book is intended as a communication platform to bridge the cultural, conceptual, and technological gap among the key systems biology disciplines of biology, mathematics, and information technology. To support this goal, contributors were asked to adopts an approach that appeals to audiences from different backgrounds.

Product details

• Assisted by: Werner Dubitzky (Editor), Hendrik Fuß (Editor), Jennife Southgate (Editor), Jennifer Southgate (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2014
• EAN: 9781489981516
• ISBN: 978-1-4899-8151-6
• No. of pages: 238
• Dimensions: 151 mm x 229 mm x 13 mm
• Weight: 374 g
• Illustrations: XIV, 238 p.
• Subjects: Natural sciences, medicine, IT, technology > Biology > Miscellaneous; B, molecular biology, bioinformatics, Biology, life sciences, Biomedical and Life Sciences, Systems Biology, Information technology: general issues, Computational and Systems Biology, Computational biology, Computer Appl. in Life Sciences, newjc