InhaltsangabePART 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 CoreBox 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

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InhaltsangabePART 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 CoreBox 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