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A high-density screening format for encoded combinatorial libraries: assay miniaturization and its application to
J R Schullek1, J H Butler, Z J Ni
1Affymax Research Institute, 4001 Miranda Avenue, Palo Alto, California, 94304, USA.
Analytical Biochemistry
|March 1, 1997
Summary
A new miniaturized screening method enables high-throughput analysis of bead-based combinatorial libraries. This technique efficiently identifies potential enzyme inhibitors from encoded libraries, validating its utility for drug discovery.
Area of Science:
- Biochemistry
- Chemical Biology
- Drug Discovery
Background:
- Combinatorial libraries synthesized on beads are valuable for drug discovery.
- High-throughput screening (HTS) methods are essential for identifying active compounds.
- Existing HTS methods may have limitations for bead-based libraries.
Purpose of the Study:
- To develop and validate a novel, miniaturized HTS format for bead-based combinatorial libraries.
- To demonstrate the utility of this approach for identifying enzyme inhibitors.
- To assess structure-activity relationships of identified inhibitors.
Main Methods:
- Utilized a miniaturized, high-density well array (>6500 wells) for assaying bead-bound compounds.
- Employed photolytic cleavage for in situ release of individual compounds from solid support.
- Assayed an encoded dipeptide library for inhibitors of matrilysin (a matrix metalloproteinase).
- Quantitated enzyme inhibition and identified active compounds via fluorescence imaging after UV irradiation.
Main Results:
- Successfully screened a 324-member encoded dipeptide library.
- Identified potential inhibitors of matrilysin using the developed HTS format.
- Generated structure-activity relationship data that corroborated previous findings.
- Validated the miniaturized format for HTS of bead-based libraries.
Conclusions:
- The novel miniaturized HTS format is effective for screening encoded, bead-based combinatorial libraries.
- This approach enables efficient identification of enzyme inhibitors and SAR studies.
- The method offers a powerful tool for accelerating drug discovery efforts.