Dataset Information

Probing the role of the cation-pi interaction in the binding sites of GPCRs using unnatural amino acids.

ABSTRACT: We describe a general application of the nonsense suppression methodology for unnatural amino acid incorporation to probe drug-receptor interactions in functional G protein-coupled receptors (GPCRs), evaluating the binding sites of both the M2 muscarinic acetylcholine receptor and the D2 dopamine receptor. Receptors were expressed in Xenopus oocytes, and activation of a G protein-coupled, inward-rectifying K(+) channel (GIRK) provided, after optimization of conditions, a quantitative readout of receptor function. A number of aromatic amino acids thought to be near the agonist-binding site were evaluated. Incorporation of a series of fluorinated tryptophan derivatives at W6.48 of the D2 receptor establishes a cation-pi interaction between the agonist dopamine and W6.48, suggesting a reorientation of W6.48 on agonist binding, consistent with proposed "rotamer switch" models. Interestingly, no comparable cation-pi interaction was found at the aligning residue in the M2 receptor.

SUBMITTER: Torrice MM

PROVIDER: S-EPMC2715518 | biostudies-literature | 2009 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Probing the role of the cation-pi interaction in the binding sites of GPCRs using unnatural amino acids.

Torrice Michael M MM Bower Kiowa S KS Lester Henry A HA Dougherty Dennis A DA

Proceedings of the National Academy of Sciences of the United States of America 20090706 29

We describe a general application of the nonsense suppression methodology for unnatural amino acid incorporation to probe drug-receptor interactions in functional G protein-coupled receptors (GPCRs), evaluating the binding sites of both the M2 muscarinic acetylcholine receptor and the D2 dopamine receptor. Receptors were expressed in Xenopus oocytes, and activation of a G protein-coupled, inward-rectifying K(+) channel (GIRK) provided, after optimization of conditions, a quantitative readout of ...[more]

PMID: 19581583

Similar Datasets

Project description:Nicotine addiction begins with high-affinity binding of nicotine to acetylcholine (ACh) receptors in the brain. The end result is over 4,000,000 smoking-related deaths annually worldwide and the largest source of preventable mortality in developed countries. Stress reduction, pleasure, improved cognition and other central nervous system effects are strongly associated with smoking. However, if nicotine activated ACh receptors found in muscle as potently as it does brain ACh receptors, smoking would cause intolerable and perhaps fatal muscle contractions. Despite extensive pharmacological, functional and structural studies of ACh receptors, the basis for the differential action of nicotine on brain compared with muscle ACh receptors has not been determined. Here we show that at the alpha4beta2 brain receptors thought to underlie nicotine addiction, the high affinity for nicotine is the result of a strong cation-pi interaction to a specific aromatic amino acid of the receptor, TrpB. In contrast, the low affinity for nicotine at the muscle-type ACh receptor is largely due to the fact that this key interaction is absent, even though the immediate binding site residues, including the key amino acid TrpB, are identical in the brain and muscle receptors. At the same time a hydrogen bond from nicotine to the backbone carbonyl of TrpB is enhanced in the neuronal receptor relative to the muscle type. A point mutation near TrpB that differentiates alpha4beta2 and muscle-type receptors seems to influence the shape of the binding site, allowing nicotine to interact more strongly with TrpB in the neuronal receptor. ACh receptors are established therapeutic targets for Alzheimer's disease, schizophrenia, Parkinson's disease, smoking cessation, pain, attention-deficit hyperactivity disorder, epilepsy, autism and depression. Along with solving a chemical mystery in nicotine addiction, our results provide guidance for efforts to develop drugs that target specific types of nicotinic receptors.

Dataset Information

Probing the role of the cation-pi interaction in the binding sites of GPCRs using unnatural amino acids.

Publications

Probing the role of the cation-pi interaction in the binding sites of GPCRs using unnatural amino acids.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets