| Chapter title |
Using AlphaScreen(®) to Identify Small-Molecule Inhibitors Targeting a Conserved Host-Pathogen Interaction.
|
|---|---|
| Chapter number | 30 |
| Book title |
Proteostasis
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3756-1_30 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3754-7, 978-1-4939-3756-1
|
| Authors |
Sisley Austin, Saïd Taouji, Eric Chevet, Harald Wodrich, Fabienne Rayne |
| Editors |
Rune Matthiesen |
| Abstract |
AlphaScreen(®) is a technology particularly suitable for bi-molecular inhibitor screening assays, e.g. using protein-protein interactions with purified recombinant proteins. Each binding partner of the bi-molecular interaction is coupled either to donor or to acceptor beads. The technology is based on the quantifiable transfer of oxygen singlets from donor to acceptor microbeads brought together by a specific interaction between the partners. We identified the conserved interaction between WW domains of cellular ubiquitin ligases of the Nedd4 family and a short peptide motif (PPxY) present in several structural and non-structural viral proteins as a potential drug target. Using an AlphaScreen assay recapitulating the interaction between Nedd4.2 and the PPxY motif of the adenoviral capsid protein VI, we screened a library of small molecules and identified specific inhibitors of this interaction. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Researcher | 3 | 23% |
| Student > Bachelor | 2 | 15% |
| Student > Master | 1 | 8% |
| Unknown | 4 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 15% |
| Chemistry | 2 | 15% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Computer Science | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 4 | 31% |