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Simple strategies for reducing sample loads in in vitro metabolic stability high-throughput screening experiments: a comparison between traditional, two-time-point and pooled sample analyses
- Source :
- Journal of pharmaceutical sciences. 94(1)
- Publication Year :
- 2005
-
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.
- Subjects :
- Computer science
Drug discovery
Sample (material)
High-throughput screening
Pooling
Analytical chemistry
Drug Evaluation, Preclinical
Pharmaceutical Science
Computational biology
Metabolic stability
Mass Spectrometry
Kinetics
Cytochrome P-450 Enzyme System
Pharmaceutical Preparations
Data Interpretation, Statistical
Microsomes, Liver
Humans
Time point
Throughput (business)
Algorithms
Chromatography, High Pressure Liquid
ADME
Half-Life
Subjects
Details
- ISSN :
- 00223549
- Volume :
- 94
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Journal of pharmaceutical sciences
- Accession number :
- edsair.doi.dedup.....2181460702a3ea72b4c0727e1a024a50