TY - JOUR
T1 - Predicting GPCR promiscuity using binding site features
AU - Levit, Anat
AU - Beuming, Thijs
AU - Krilov, Goran
AU - Sherman, Woody
AU - Niv, Masha Y.
PY - 2014/1/27
Y1 - 2014/1/27
N2 - G protein-coupled receptors (GPCRs) represent a large family of signaling proteins that includes many therapeutic targets. GPCR ligands include odorants, tastants, and neurotransmitters and vary in size and properties. Dramatic chemical diversity may occur even among ligands of the same receptor. Our goal is to unravel the structural and chemical features that determine GPCRs' promiscuity toward their ligands. We perform statistical analysis using more than 30 descriptors related to the sequence, physicochemical, structural, and energetic properties of the GPCR binding sites - we find that the chemical variability of antagonists significantly correlates with the binding site hydrophobicity and anticorrelates with the number of hydrogen bond donors in the binding site. The number of disulfide bridges in the extracellular region of a receptor anticorrelates with the range of molecular weights of its antagonists, highlighting the role of the entrance pathway in determining the size selectivity for GPCR antagonists. The predictive capability of the model is successfully validated using a separate set of GPCRs, using either X-ray structures or homology models.
AB - G protein-coupled receptors (GPCRs) represent a large family of signaling proteins that includes many therapeutic targets. GPCR ligands include odorants, tastants, and neurotransmitters and vary in size and properties. Dramatic chemical diversity may occur even among ligands of the same receptor. Our goal is to unravel the structural and chemical features that determine GPCRs' promiscuity toward their ligands. We perform statistical analysis using more than 30 descriptors related to the sequence, physicochemical, structural, and energetic properties of the GPCR binding sites - we find that the chemical variability of antagonists significantly correlates with the binding site hydrophobicity and anticorrelates with the number of hydrogen bond donors in the binding site. The number of disulfide bridges in the extracellular region of a receptor anticorrelates with the range of molecular weights of its antagonists, highlighting the role of the entrance pathway in determining the size selectivity for GPCR antagonists. The predictive capability of the model is successfully validated using a separate set of GPCRs, using either X-ray structures or homology models.
UR - http://www.scopus.com/inward/record.url?scp=84893342003&partnerID=8YFLogxK
U2 - 10.1021/ci400552z
DO - 10.1021/ci400552z
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
C2 - 24328091
AN - SCOPUS:84893342003
SN - 1549-9596
VL - 54
SP - 184
EP - 194
JO - Journal of Chemical Information and Modeling
JF - Journal of Chemical Information and Modeling
IS - 1
ER -