![]() Biosimulation in Drug Development
ISBN: 978-3-527-31699-1
Hardcover
540 pages
December 2007
US $215.00
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PART I INTRODUCTION
1 Simulation in Clinical Drug Development
2 Modeling of Complex Biomedical Systems
3 Biosimulation of Drug Metabolism
PART II SIMULATING CELLS AND TISSUES
4 Correlation Between In Vitro, In Situ, and In Vivo Models
5 Core-Box Modeling in the Biosimulation of Drug Action
6 The Glucose?Insulin Control System
7 Biological Rhythms in Mental Disorders
8 Energy Metabolism in Conformational Diseases
9 Heart Simulation, Arrhythmia, and the Actions of Drugs
PART III TECHNOLOGIES FOR SIMULATING DRUG ACTION AND EFFECT
10 Optimizing Temporal Patterns of Anticancer Drug Delivery by Simulations of a Cell Cycle Automaton
11 Probability of Exocytosis in Pancreatic ß-Cells: Dependence on Ca2+ Sensing Latency Times, Ca2+ Channel Kinetic Parameters, and Channel Clustering
12 Modeling Kidney Pressure and Flow Regulation
13 Toward a Computational Model of Deep Brain Stimulation in Parkinson?s Disease
14 Constructing a Virtual Proteasome
PART IV APPLICATIONS OF BIOSIMULATION
15 Silicon Cell Models: Construction, Analysis, and Reduction
16 Building Virtual Human Populations: Assessing the Propagation of Genetic Variability in Drug Metabolism to Pharmacokinetics and Pharmacodynamics
17 Biosimulation in Clinical Drug Development
18 Biosimulation and Its Contribution to the Three Rs
1 Simulation in Clinical Drug Development
2 Modeling of Complex Biomedical Systems
3 Biosimulation of Drug Metabolism
PART II SIMULATING CELLS AND TISSUES
4 Correlation Between In Vitro, In Situ, and In Vivo Models
5 Core-Box Modeling in the Biosimulation of Drug Action
6 The Glucose?Insulin Control System
7 Biological Rhythms in Mental Disorders
8 Energy Metabolism in Conformational Diseases
9 Heart Simulation, Arrhythmia, and the Actions of Drugs
PART III TECHNOLOGIES FOR SIMULATING DRUG ACTION AND EFFECT
10 Optimizing Temporal Patterns of Anticancer Drug Delivery by Simulations of a Cell Cycle Automaton
11 Probability of Exocytosis in Pancreatic ß-Cells: Dependence on Ca2+ Sensing Latency Times, Ca2+ Channel Kinetic Parameters, and Channel Clustering
12 Modeling Kidney Pressure and Flow Regulation
13 Toward a Computational Model of Deep Brain Stimulation in Parkinson?s Disease
14 Constructing a Virtual Proteasome
PART IV APPLICATIONS OF BIOSIMULATION
15 Silicon Cell Models: Construction, Analysis, and Reduction
16 Building Virtual Human Populations: Assessing the Propagation of Genetic Variability in Drug Metabolism to Pharmacokinetics and Pharmacodynamics
17 Biosimulation in Clinical Drug Development
18 Biosimulation and Its Contribution to the Three Rs

