Computer Techniques in Preclinical and Clinical Drug Development

This text responds to the question "how can we use computational methods to improve the success rate in drug development?" It aims to show how modelling makes it possible to extract the maximum amount of information and predictive value from preclinical data.

It is estimated that 80 to 90 per cent of drugs under development never make it to the marketplace due to insufficient clinical activity, unacceptable toxicity, rapid appearance of drug resistance, or other factors that should be, at least partially, predictable from preclinical testing. This new text asks the question, "How can we use computational methods to improve the success rate in drug development?" Computer Techniques in Preclinical and Clinical Drug Development shows how modeling makes it possible to extract the maximum amount of information and predictive value from preclinical data. Computer modeling methods from the areas of pharmacokinetics, pharmacodynamics, cytokinetics, and inhibition kinetics of multi-enzyme pathways are all discussed in this unique reference source.

Introduction: The Preclinical and Clinical Drug
Development ProcessPhysiological Pharmacokinetic ModelingInterspecies ScalingPrediction of Drug Metabolism and ToxicityPharmacodynamic ModelingCytokinetic ModelingPrediction of Drug ResistanceConclusions: The Virtual Clinical TrialReferencesAppendix: Computational Pharmacology Software SuppliersAbbreviationsIndex