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Updated: Aug 19, 2026

A Strategy to Identify Compounds that Affect Cell Growth and Survival in Cultured Mammalian Cells at Low-to-Moderate Throughput
Published on: September 22, 2019
Simple strategies for reducing sample loads in in vitro metabolic stability high-throughput screening experiments: a
Sabrina X Zhao1, Darcy Forman, Nora Wallace
1Candidate Enhancement Group, Exploratory Medicinal Sciences, Pfizer Inc., Eastern Point Road MS-8118W-102, Groton, Connecticut 06340, USA. sabrina_x_zhao@groton.pfizer.com <sabrina_x_zhao@groton.pfizer.com>
Abstract:
Higher-throughput ADME programs in early drug discovery are becoming common throughout the pharmaceutical industry as companies strive to reduce their compound attrition in later-stage development. Many of the ADME assays developed into higher-throughput formats rely on LC/MS analyses. Since the biological aspects of the assay are amenable to parallel processes using dense plate formats, the number of samples generated from these assays produce a large analysis load for serial LC/MS. Presented in this report are two novel strategies, including a sample pooling method and a two time-point method, that could be used in drug discovery to reduce the number of samples generated during multiple time-point in-vitro ADME assays. One hundred and sixty-three compounds were subjected to human microsomal incubations with full time-point method samples taken at t = 0, 5, 15, 30, and 45 min. The ER data correlation (R(2)) between the full time-point method and the pooling method and two time-point methods were 0.98 and 0.97, respectively. Both methods have the potential to: 1. produce data of similar quality to traditional high throughput ADME assays, 2. be easily implemented, 3. shorten analytical run times, and 4. be reproducible and robust.

