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A 5-HT4 Receptor Transmembrane Network Implicated in the Activity of Inverse Agonists but Not Agonists*

Overview of attention for article published in Journal of Biological Chemistry, April 2002
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Article details
Title
A 5-HT4 Receptor Transmembrane Network Implicated in the Activity of Inverse Agonists but Not Agonists*
Published in
Journal of Biological Chemistry, April 2002
DOI 10.1074/jbc.m202539200
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Abstract

Activation of G protein-coupled receptors is thought to involve disruption of intramolecular interactions that stabilize their inactive conformation. Such disruptions are induced by agonists or by constitutively active mutations. In the present study, novel potent inverse agonists are described to inhibit the constitutive activity of 5-HT(4) receptors. Using these compounds and specific receptor mutations, we investigated the mechanisms by which inverse agonists may reverse the disruption of intramolecular interactions that causes constitutive activation. Two mutations (D100(3.32)A in transmembrane domain (TMD)-III and F275(6.51)A in TMD-VI) were found to completely block inverse agonist effects without impairing their binding properties nor the molecular activation switches induced by agonists. Based on the rhodopsin model, we propose that these mutated receptors are in equilibrium between two states R and R* but are unable to reach a third "silent" state stabilized by inverse agonists. We also found another mutation in TMD-VI (W272(6.48)A) that stabilized this silent state. This mutant remained fully activated by agonists. Molecular modeling indicated that Asp-100, Phe-275, and Trp-272 might constitute a network required for stabilization of the silent state by the described inverse agonists. However, this network is not necessary for agonist activity.

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Mendeley demographics

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Germany 3 9%
United States 1 3%
Italy 1 3%
Unknown 29 85%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 11 32%
Other 4 12%
Student > Ph. D. Student 4 12%
Professor > Associate Professor 4 12%
Student > Master 3 9%
Other 5 15%
Unknown 3 9%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 16 47%
Chemistry 4 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Medicine and Dentistry 3 9%
Computer Science 2 6%
Other 2 6%
Unknown 4 12%