Dataset Information

Large-Scale G Protein-Coupled Olfactory Receptor-Ligand Pairing.

ABSTRACT: G protein-coupled receptors (GPCRs) conserve common structural folds and activation mechanisms, yet their ligand spectra and functions are highly diverse. This work investigated how the amino-acid sequences of olfactory receptors (ORs)-the largest GPCR family-encode diversified responses to various ligands. We established a proteochemometric (PCM) model based on OR sequence similarities and ligand physicochemical features to predict OR responses to odorants using supervised machine learning. The PCM model was constructed with the aid of site-directed mutagenesis, in vitro functional assays, and molecular simulations. We found that the ligand selectivity of the ORs is mostly encoded in the residues up to 8 Å around the orthosteric pocket. Subsequent predictions using Random Forest (RF) showed a hit rate of up to 58%, as assessed by in vitro functional assays of 111 ORs and 7 odorants of distinct scaffolds. Sixty-four new OR-odorant pairs were discovered, and 25 ORs were deorphanized here. The best model demonstrated a 56% deorphanization rate. The PCM-RF approach will accelerate OR-odorant mapping and OR deorphanization.

SUBMITTER: Cong X

PROVIDER: S-EPMC8949627 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Large-Scale G Protein-Coupled Olfactory Receptor-Ligand Pairing.

Cong Xiaojing X Ren Wenwen W Pacalon Jody J Xu Rui R Xu Lun L Li Xuewen X de March Claire A CA Matsunami Hiroaki H Yu Hongmeng H Yu Yiqun Y Golebiowski Jérôme J

ACS central science 20220218 3

G protein-coupled receptors (GPCRs) conserve common structural folds and activation mechanisms, yet their ligand spectra and functions are highly diverse. This work investigated how the amino-acid sequences of olfactory receptors (ORs)-the largest GPCR family-encode diversified responses to various ligands. We established a proteochemometric (PCM) model based on OR sequence similarities and ligand physicochemical features to predict OR responses to odorants using supervised machine learning. The ...[more]

PMID: 35350604

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Dataset Information

Large-Scale G Protein-Coupled Olfactory Receptor-Ligand Pairing.

Publications

Large-Scale G Protein-Coupled Olfactory Receptor-Ligand Pairing.

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