Chapter title |
AlphaScreen-Based Assays: Ultra-High-Throughput Screening for Small-Molecule Inhibitors of Challenging Enzymes and Protein-Protein Interactions
|
---|---|
Chapter number | 5 |
Book title |
High Throughput Screening
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3673-1_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3671-7, 978-1-4939-3673-1
|
Authors |
Adam Yasgar, Ajit Jadhav, Anton Simeonov, Nathan P. Coussens, Yasgar, Adam, Jadhav, Ajit, Simeonov, Anton, Coussens, Nathan P. |
Abstract |
AlphaScreen technology has been routinely utilized in high-throughput screening assays to quantify analyte accumulation or depletion, bimolecular interactions, and post-translational modifications. The high signal-to-background, dynamic range, and sensitivity associated with AlphaScreens as well as the homogenous assay format and reagent stability make the technology particularly well suited for high-throughput screening applications. Here, we describe the development of AlphaScreen assays to identify small-molecule inhibitors of enzymes and protein-protein interactions using the highly miniaturized 1536-well format. The subsequent implementation of counter assays to identify false-positive compounds is also discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | <1% |
Unknown | 121 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 30 | 25% |
Researcher | 25 | 20% |
Student > Bachelor | 16 | 13% |
Student > Master | 9 | 7% |
Student > Doctoral Student | 5 | 4% |
Other | 11 | 9% |
Unknown | 26 | 21% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 38 | 31% |
Chemistry | 19 | 16% |
Agricultural and Biological Sciences | 10 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
Immunology and Microbiology | 5 | 4% |
Other | 16 | 13% |
Unknown | 29 | 24% |