Automated HTS/HCS for antivirals using visual HIV full replication assays
| Autor: | Thierry Dorval, Junwon Kim, Philippe Kieffer-Kwon, Mi-Ri Kim, Hwa Pyung Kim, Changbok Lee, Peter Sommer, Sandra Corre, Priscille Brodin, Annette S Boese, Sung-Jun Han, Hyunrim Oh, Denis Philippe Cedric Fenistein, Boris Lenseigne, Zaesung No, Thierry Christophe, Jonathan Cechetto, Jean-Philippe Carralot |
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| Jazyk: | angličtina |
| Předmět: |
lcsh:Immunologic diseases. Allergy
medicine.drug_class business.industry Human immunodeficiency virus (HIV) Host factors Drug resistance medicine.disease_cause Virology Antiretroviral therapy Infectious Diseases Drug development Poster Presentation medicine Treatment strategy Antiviral drug lcsh:RC581-607 Adverse effect business |
| Zdroj: | ResearcherID Retrovirology Retrovirology, Vol 6, Iss Suppl 2, p P82 (2009) |
| ISSN: | 1742-4690 |
| DOI: | 10.1186/1742-4690-6-s2-p82 |
| Popis: | There are currently 25 drugs belonging to 6 different inhibitor classes approved for the treatment of human immunodeficiency virus (HIV) infection. However, new anti-HIV agents and treatment strategies are still needed to confront the emergence of drug resistance and various adverse effects associated with long-term use of antiretroviral therapy and the inability to cure infected individuals. We developed visual, HIV full replication assays and implemented them in high-throughput compound (n = 200.000) and genome-wide siRNA screens, which allowed the identification of a few thousand novel small molecules with potent anti-retroviral activity and a few hundred host factors required for HIV infection, respectively. The identified compounds and host factors are opening unexplored avenues to novel antiviral drug and target discovery and validation, and should feed the drug development pipeline in the near future. |
| Databáze: | OpenAIRE |
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