High-Potency Olfactory Receptor Agonists Discovered by Virtual High-Throughput Screening: Molecular Probes for Receptor Structure and Olfactory Function

Autor: Guillaume Paillard, John Ngai, Rémy Hoffmann, Diana Cai, Guillaume Laslier, Eric Van Name, Peter W. Sorensen, Hugues-Olivier Bertrand, Francine Acher, Nicolas Triballeau
Jazyk: angličtina
Předmět:
Zdroj: Neuron. (5):767-774
ISSN: 0896-6273
DOI: 10.1016/j.neuron.2008.11.014
Popis: The detection and discrimination of diverse chemical structures by the vertebrate olfactory system is accomplished by the recognition of odorous ligands by their cognate receptors. In the present study we used a computational high-throughput screening strategy to discover novel high affinity agonists of an olfactory G protein-coupled receptor tuned to recognize amino acid ligands. Functional testing of the top candidates validated several agonists with potencies higher than any of the receptor’s known natural ligands. Computational modeling revealed molecular interactions involved in ligand recognition by this receptor, and further highlighted interactions that have been conserved in evolutionarily divergent amino acid receptors. Significantly, the top compounds display robust activities as odorants in vivo, and include a natural product that may be used to signal the presence of bacteria in the aquatic environment. Our virtual screening approach should be applicable to the identification of new bioactive molecules for probing the structure of chemosensory receptors and the function of chemosensory systems in vivo.
Databáze: OpenAIRE