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A High-Throughput Screen to Identify Inhibitors of Amyloid β-Protein Precursor Processing
- Source :
- SLAS Discovery. 10:1-12
- Publication Year :
- 2005
- Publisher :
- Elsevier BV, 2005.
-
Abstract
- Cerebral accumulation of the amyloid beta-peptide (Abeta) is believed to play a key role in the pathogenesis of Alzheimer's disease (AD). Because Abeta is produced from the proteolysis of amyloid beta-protein precursor (APP) by beta-and gamma-secretases, these enzymes are considered important drug targets for AD. The authors have developed a luciferase-based reporter system that can identify new molecules that inhibit APP processing in a high-throughput manner. Such molecules can help in understanding the biology of APP and APP processing and in developing new drug prototypes for AD. In this system, APP is fused on its C-terminus with Gal4-VP16, a chimeric yeast-viral transcription activator, and luciferase is under control of the yeast Gal4 promoter. Compounds that modulate the luciferase signal may affect the secretases directly, interact with modifiers of these proteases, or interact with APP directly. The authors successfully interfaced this assay with a high-throughput screen, testing approximately 60,000 compounds with diverse chemical structures. In principle, this sensitive, specific, and quantitative assay may be useful for identifying both inhibitors and stimulators of APP processing.
- Subjects :
- 0301 basic medicine
Amyloid
Amyloid β
Proteolysis
High-throughput screening
Drug Evaluation, Preclinical
Biology
Transfection
Bioinformatics
01 natural sciences
Biochemistry
Cell Line
Analytical Chemistry
Pathogenesis
Amyloid beta-Protein Precursor
Inhibitory Concentration 50
03 medical and health sciences
Endopeptidases
mental disorders
medicine
Aspartic Acid Endopeptidases
Humans
Luciferase
γ secretase
Protein precursor
medicine.diagnostic_test
0104 chemical sciences
010404 medicinal & biomolecular chemistry
030104 developmental biology
Molecular Medicine
Amyloid Precursor Protein Secretases
Protein Processing, Post-Translational
Biotechnology
Subjects
Details
- ISSN :
- 24725552
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- SLAS Discovery
- Accession number :
- edsair.doi.dedup.....cbf23bab956c56792805d534b80d44e7
- Full Text :
- https://doi.org/10.1177/1087057104270068