A Fully Integrated Assay Panel for Early Drug Metabolism and Pharmacokinetics Profiling
Author(s) -
Johan Wernevik,
Fredrik Bergström,
Anovén,
Johan Hulthe,
Linda Fredlund,
Dan Addison,
Jan Holmgren,
Per-Erik Strömstedt,
Erika Rehnström,
Thomas Lundbäck
Publication year - 2020
Publication title -
assay and drug development technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.402
H-Index - 56
eISSN - 1557-8127
pISSN - 1540-658X
DOI - 10.1089/adt.2020.970
Subject(s) - lipophilicity , metabolic stability , workflow , computer science , drug metabolism , profiling (computer programming) , chemistry , drug discovery , solubility , process (computing) , pharmacokinetics , computational biology , drug , chromatography , biochemical engineering , combinatorial chemistry , bioinformatics , metabolism , biochemistry , pharmacology , database , in vitro , biology , organic chemistry , engineering , operating system
Evaluation and optimization of physicochemical and metabolic properties of compounds are a crucial component of the drug development process. Continuous access to this information during the design-make-test-analysis cycle enables identification of chemical entities with suitable properties for efficient project progression. In this study, we describe an integrated and automated assay panel (DMPK Wave 1) that informs weekly on lipophilicity, solubility, human plasma protein binding, and metabolic stability in rat hepatocytes and human liver microsomes. All assays are running in 96-well format with ultraperformance liquid chromatography–mass spectrometry (MS)/MS as read-out. A streamlined overall workflow has been developed by optimizing all parts of the process, including shipping of compounds between sites, use of fit-for-purpose equipment and information systems, and technology for compound requesting, data analysis, and reporting. As a result, lead times can be achieved that well match project demands across sites independently of where compounds are synthesized. This robust screening strategy is run on a weekly basis and enables optimization of structure-activity relationships in parallel with DMPK properties to allow efficient and informed decision making.
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