title: Development and application of physiologically based pharmacokinetic-modeling tools to support drug discovery.
abstract: Physiologically based pharmacokinetic (PBPK) modeling integrates physicochemical (PC) and in vitro pharmacokinetic (PK) data using a mechanistic framework of principal ADME (absorption, distribution, metabolism, and excretion) processes into a physiologically based whole-body model. Absorption, distribution, and clearance are modeled by combining compound-specific PC and PK properties with physiological processes. Thereby, isolated in vitro data can be upgraded by means of predicting full concentration-time profiles prior to animal experiments. The integrative process of PBPK modeling leads to a better understanding of the specific ADME processes driving the PK behavior in vivo, and has the power to rationally select experiments for a more focussed PK project support. This article presents a generic disposition model based on tissue-composition-based distribution and directly scaled hepatic clearance. This model can be used in drug discovery to identify the critical PK issues of compound classes and to rationally guide the optimization path of the compounds toward a viable development candidate. Starting with a generic PBPK model, which is empirically based on the most common PK processes, the model will be gradually tailored to the specifics of drug candidates as more and more experimental data become available. This will lead to a growing understanding of the 'drug in the making', allowing a range of predictions to be made for various purposes and conditions. The stage is set for a wide penetration of PK modeling and simulations to form an intrinsic part of a project starting from lead discovery, to lead optimization and candidate selection, to preclinical profiling and clinical trials.
authors.affiliation: Research Pharmacokinetics, Schering AG, Müllerstrasse 178, D-13342 Berlin.
authors.forename: Christian
authors.initials: C
authors.lastname: Lüpfert
authors.forename: Andreas
authors.initials: A
authors.lastname: Reichel
mesh_terms: D004353:Drug Evaluation, Preclinical / Q000379:methods; D008657:Metabolic Clearance Rate / Q000502:physiology; D053858:Metabolic Networks and Pathways / Q000502:physiology; D008954:Models, Biological; D008956:Models, Chemical; D004364:Pharmaceutical Preparations / Q000737:chemistry / Q000378:metabolism*; D010599:Pharmacokinetics; D013678:Technology, Pharmaceutical / Q000639:trends*; D014018:Tissue Distribution / Q000502:physiology
chemical_list: D004364:Pharmaceutical Preparations