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Ligand-Dependent Conformations and Dynamics of the Serotonin 5-HT2A Receptor Determine Its Activation and Membrane-Driven Oligomerization Properties

Overview of attention for article published in PLoS Computational Biology, April 2012
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Title
Ligand-Dependent Conformations and Dynamics of the Serotonin 5-HT2A Receptor Determine Its Activation and Membrane-Driven Oligomerization Properties
Published in
PLoS Computational Biology, April 2012
DOI 10.1371/journal.pcbi.1002473
Pubmed ID
Authors

Jufang Shan, George Khelashvili, Sayan Mondal, Ernest L. Mehler, Harel Weinstein

Abstract

From computational simulations of a serotonin 2A receptor (5-HT(2A)R) model complexed with pharmacologically and structurally diverse ligands we identify different conformational states and dynamics adopted by the receptor bound to the full agonist 5-HT, the partial agonist LSD, and the inverse agonist Ketanserin. The results from the unbiased all-atom molecular dynamics (MD) simulations show that the three ligands affect differently the known GPCR activation elements including the toggle switch at W6.48, the changes in the ionic lock between E6.30 and R3.50 of the DRY motif in TM3, and the dynamics of the NPxxY motif in TM7. The computational results uncover a sequence of steps connecting these experimentally-identified elements of GPCR activation. The differences among the properties of the receptor molecule interacting with the ligands correlate with their distinct pharmacological properties. Combining these results with quantitative analysis of membrane deformation obtained with our new method (Mondal et al, Biophysical Journal 2011), we show that distinct conformational rearrangements produced by the three ligands also elicit different responses in the surrounding membrane. The differential reorganization of the receptor environment is reflected in (i)-the involvement of cholesterol in the activation of the 5-HT(2A)R, and (ii)-different extents and patterns of membrane deformations. These findings are discussed in the context of their likely functional consequences and a predicted mechanism of ligand-specific GPCR oligomerization.

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The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Spain 2 2%
France 2 2%
Germany 1 <1%
Unknown 120 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 27%
Researcher 27 21%
Student > Bachelor 18 14%
Student > Master 14 11%
Student > Doctoral Student 7 5%
Other 20 16%
Unknown 8 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 28%
Biochemistry, Genetics and Molecular Biology 28 22%
Chemistry 17 13%
Pharmacology, Toxicology and Pharmaceutical Science 9 7%
Neuroscience 6 5%
Other 26 20%
Unknown 7 5%