HT-ADME in a contract research organization laboratory: can you ensure bioanalytical quality in a highly automated environment?

Using innovative tools for in vitro absorption, distribution, metabolism and excretion studies to efficiently and effectively support drug development

Drug development is a complicated and lengthy process requiring a significant amount of intellectual and capital input, as well as extensive collaborations among various organizations and institutions. Contract research organizations play important roles at some or even all stages of the drug development process. To provide better service in in vitro drug absorption, disposition, metabolism and excretion studies, maintain data accuracy and promote work efficiency, we developed an integrated information system termed the 'Drug Metabolism Information System', and it is being used routinely by our drug metabolism department. The Drug Metabolism Information System assists scientists with assay design, data analysis and report drafting and thus reduces human error.

Perspective on high-throughput bioanalysis to support in vitro assays in early drug discovery

As the desire for a shortened design/make/test/learn cycle increases in early drug discovery, the pressure to rapidly deliver drug metabolism pharmacokinetic data continues to rise. From a bioanalytical standpoint, in vitro assays are challenging because they are amenable to automation and thus capable of generating a high number of samples for analysis. To keep up with analysis demands, automated method development workflows, rapid sample analysis approaches and efficient data analysis software must be utilized. This work provides an outline of how we implemented those three aspects to provide bioanalytical support for in vitro drug metabolism pharmacokinetic assays, which include developing hundreds of mass spectrometry methods and analyzing thousands of samples per week, while delivering a median bioanalytical turnaround time of 1-2 business days.

Current status and future directions of high-throughput ADME screening in drug discovery

During the last decade high-throughput in vitro absorption, distribution, metabolism and excretion (HT-ADME) screening has become an essential part of any drug discovery effort of synthetic molecules. The conduct of HT-ADME screening has been "industrialized" due to the extensive development of software and automation tools in cell culture, assay incubation, sample analysis and data analysis. The HT-ADME assay portfolio continues to expand in emerging areas such as drug-transporter interactions, early soft spot identification, and ADME screening of peptide drug candidates. Additionally, thanks to the very large and high-quality HT-ADME data sets available in many biopharma companies, in silico prediction of ADME properties using machine learning has also gained much momentum in recent years. In this review, we discuss the current state-of-the-art practices in HT-ADME screening including assay portfolio, assay automation, sample analysis, data processing, and prediction model building. In addition, we also offer perspectives in future development of this exciting field.