Biosimulation in drug development
Author(s)
Bibliographic Information
Biosimulation in drug development
Wiley-VCH, c2008
Available at / 2 libraries
-
No Libraries matched.
- Remove all filters.
Description and Table of Contents
Description
This first comprehensive survey to cover all pharmaceutically relevant topics provides a comprehensive introduction to this novel and revolutionary tool, presenting both concepts and application examples of biosimulated cells, organs and organisms.
Following an introduction to the role of biosimulation in drug development, the authors go on to discuss the simulation of cells and tissues, as well as simulating drug action and effect. A further section is devoted to simulating networks and populations, and the whole is rounded off by a look at the potential for biosimulation in industrial drug development and for regulatory decisions.
Part of the authors are members of the BioSim Network of Excellence that encompasses more than 40 academic institutions, pharmaceutical companies and regulatory authorities dealing with drug development; other contributors come from industry, resulting in a cross-disciplinary expert reference.
Table of Contents
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 ?-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
by "Nielsen BookData"