High throughput ADME screening: practical considerations, impact on the portfolio and enabler of in silico ADME models

Curr Drug Metab. 2008 Nov;9(9):847-53. doi: 10.2174/138920008786485092.

Abstract

Evaluation and optimization of drug metabolism and pharmacokinetic data plays an important role in drug discovery and development and several reliable in vitro ADME models are available. Recently higher throughput in vitro ADME screening facilities have been established in order to be able to evaluate an appreciable fraction of synthesized compounds. The ADME screening process can be dissected in five distinct steps: (1) plate management of compounds in need of in vitro ADME data, (2) optimization of the MS/MS method for the compounds, (3) in vitro ADME experiments and sample clean up, (4) collection and reduction of the raw LC-MS/MS data and (5) archival of the processed ADME data. All steps will be described in detail and the value of the data on drug discovery projects will be discussed as well. Finally, in vitro ADME screening can generate large quantities of data obtained under identical conditions to allow building of reliable in silico models.

Publication types

  • Review

MeSH terms

  • Animals
  • Computer Simulation
  • Drug Evaluation, Preclinical / standards*
  • Drug Evaluation, Preclinical / statistics & numerical data
  • Drug-Related Side Effects and Adverse Reactions*
  • Humans
  • Pharmaceutical Preparations / metabolism*
  • Pharmacokinetics
  • Quality Control

Substances

  • Pharmaceutical Preparations