Related Experiment Videos
High throughput screening via mass spectrometry: a case study using acetylcholinesterase
Can C Ozbal1, William A LaMarr, John R Linton
1BioTrove, Inc., Woburn, MA, USA. cozbal@biotrove.com
Assay and Drug Development Technologies
|September 11, 2004
Summary
This study introduces a novel, high-throughput mass spectrometry technique for drug discovery, enabling label-free screening of challenging targets like enzymes. The system efficiently identifies potent inhibitors, accelerating lead discovery for diseases such as Alzheimer's.
Area of Science:
- Biochemistry and Analytical Chemistry
- Drug Discovery and Development
- Enzyme Inhibition Assays
Background:
- Traditional screening methods struggle with complex substrates like lipids and steroids.
- Mass spectrometry (MS) offers label-free assay potential but is limited by low throughput.
- High-throughput screening (HTS) is crucial for efficient lead discovery in pharmaceutical research.
Purpose of the Study:
- To develop and validate a novel MS-based technique and hardware for high-throughput lead discovery.
- To enable label-free assays using native substrates for diverse enzymatic targets.
- To demonstrate the system's utility by identifying acetylcholinesterase inhibitors for Alzheimer's disease.
Main Methods:
- Development of a specialized MS system for rapid sample analysis (4-5 seconds per sample).
- Design of label-free assays utilizing biologically native substrates for enzymatic targets.
- Application of the MS system to screen a chemical library for acetylcholinesterase inhibitors.
Main Results:
- The developed MS system achieves high throughput, overcoming a major limitation of MS-based screening.
- Label-free assays were successfully implemented for direct analyte quantification in complex mixtures.
- Several potent acetylcholinesterase inhibitors were identified, with IC50 values determined.
Conclusions:
- The novel MS-based technique significantly enhances throughput for lead discovery applications.
- This approach is versatile, applicable to a broad range of enzymatic targets and complex substrates.
- The system demonstrates efficacy in identifying clinically relevant inhibitors, such as those for Alzheimer's disease.