Understanding the Dynamics of Biological Systems: Lessons Learned from Integrative Systems BiologyWerner Dubitzky, Jennifer Southgate, Hendrik Fuß Springer Science & Business Media, 07.01.2011 - 238 Seiten 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. |
Inhalt
1 | |
Properties and Principles
| 19 |
Chapter 3 A Deterministic Mathematical Modelfor Hormonal Control of the Menstrual Cycle
| 38 |
Chapter 4 Modeling Transport Processes and Their Implications for Chemical Disposition and Action
| 59 |
Insights for Drug Discovery
| 83 |
Chapter 6 Qualitative Analysis of Genetic Regulatory Networks in Bacteria
| 111 |
Chapter 7 Modeling Antibiotic Resistance in Bacterial Colonies Using AgentBased Approach
| 131 |
Chapter 8 Modeling the Spatial Pattern Forming Modules in Mitotic Spindle Assembly
| 155 |
Chapter 9 CellCentred Modeling of Tissue Behaviour
| 175 |
Chapter 10 InteractionBased Simulations for Integrative Spatial Systems Biology
| 195 |
Glossary | 232 |
237 | |
Andere Ausgaben - Alle anzeigen
Understanding the Dynamics of Biological Systems: Lessons Learned from ... Werner Dubitzky,Jennifer Southgate,Hendrik Fuß Keine Leseprobe verfügbar - 2011 |
Understanding the Dynamics of Biological Systems: Lessons Learned from ... Werner Dubitzky,Jennifer Southgate,Hendrik Fuß Keine Leseprobe verfügbar - 2014 |
Häufige Begriffe und Wortgruppen
active agents allows analysis antibiotic applied approach bacterial behavior binding Biol biological cell cellular changes chemical collection complex components computational concentration considered constant corresponding cycle cytoplasm defined dependent described determined differential equations diffusion drug dynamics effects environment enzymes et al example experimental expression flux folding forces formation function gene genetic given glucose gradient growth hormone human identified important included increase individual initial Integrative interactions involved kinetic lead mathematical matrix measured mechanisms membrane metabolic methods microtubule misfolded protein molecular molecules multiset Nature occur organization parameters pathways phase physical population possible predictions processes production properties reaction regulation represent resistance response scales sensitivity signalling silico simple simulation space spatial specific spindle step structure systems biology tion transport types understanding unfolded protein values variables various