6533b7d1fe1ef96bd125ccee

RESEARCH PRODUCT

3D-QSAR study of ligands for a human olfactory receptor

Anne TromelinElisabeth GuichardJean-claude PernolletGuenhaël SanzLoïc Briand

subject

HUMAN OLFACTORY RECEPTOR0303 health sciencesQuantitative structure–activity relationshipOlfactory receptorStereochemistry[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering[SDV]Life Sciences [q-bio]AntagonistBiology[SDV.IDA] Life Sciences [q-bio]/Food engineering[INFO] Computer Science [cs][SDV] Life Sciences [q-bio]03 medical and health sciences0302 clinical medicinemedicine.anatomical_structure[SDV.IDA]Life Sciences [q-bio]/Food engineeringmedicine[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering[INFO]Computer Science [cs]LIGANDReceptor030217 neurology & neurosurgeryComputingMilieux_MISCELLANEOUS030304 developmental biology

description

Abstract Only about 350 olfactory receptors (OR) provide a basis for the remarkable ability of humans to recognise and discriminate a large number of odorants. A recent study reports the odorant repertoire of a human class II OR called OR1G1, including both agonists and antagonists. We used these affinity data to perform a 3D molecular modelling study of these ligands using Catalyst/HypoGen software (Catalyst v4.9.1, Accelrys Inc., San Diego, 2004) to propose alignment models for OR1G1 ligands. We obtained a triple-alignment model, which satisfactorily explained the experimental activities and was able both to predict the antagonist effects of some compounds and to identify new potent agonists which were validated by direct experiments.

https://hal.inrae.fr/hal-02757362