Novel structural insights for drug design of selective 5-HT(2C) inverse agonists from a ligand-biased receptor model.

摘要

Structure-based design of compounds targeting monoamine receptors, within the class-A G-protein coupled receptors, has been enriched by the recent crystallization of the beta1 and beta2 adrenoceptors. On the basis of ligand-biased homology modeling and docking-scoring calculations, a ritanserin-biased 5-HT(2C) receptor model has been built and used in a highly efficient virtual screening protocol to discriminate specifically 5-HT(2C) inverse agonists in a fuzzy dataset including hundreds of compounds with known experimental values of 5-HT(2C) affinity and activity. The resulting fingerprint of interaction displays hotspots in the third transmembrane alpha-helix and the second extracellular loop selectively bound by most 5-HT(2C) inverse agonists.