4.3 Article

Modeling GPCR active state conformations: The β2-adrenergic receptor

期刊

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
卷 79, 期 5, 页码 1441-1457

出版社

WILEY
DOI: 10.1002/prot.22974

关键词

restrained molecular dynamics; docking; virtual screening; agonist; muscarinic receptor; selectivity; rigid core analysis; principle component analysis

资金

  1. BBSRC
  2. GSK
  3. Royal Society

向作者/读者索取更多资源

The recent publication of several G protein-coupled receptor (GPCR) structures has increased the information available for homology modeling inactive class A GPCRs. Moreover, the opsin crystal structure shows some active features. We have therefore combined information from these two sources to generate an extensively validated model of the active conformation of the beta(2)-adrenergic receptor. Experimental information on fully active GPCRs from zinc binding studies, site-directed spin labeling, and other spectroscopic techniques has been used in molecular dynamics simulations. The observed conformational changes reside mainly in transmembrane helix 6 (TM6), with additional small but significant changes in TM5 and TM7. The active model has been validated by manual docking and is in agreement with a large amount of experimental work, including site-directed mutagenesis information. Virtual screening experiments show that the models are selective for beta-adrenergic agonists over other GPCR ligands, for (R)-over (S)-beta-hydroxy agonists and for beta(2)-selective agonists over beta(1)-selective agonists. The virtual screens reproduce interactions similar to those generated by manual docking. The C-terminal peptide from a model of the stimulatory G protein, readily docks into the active model in a similar manner to which the C-terminal peptide from transducin, docks into opsin, as shown in a recent opsin crystal structure. This GPCR-G protein model has been used to explain site-directed mutagenesis data on activation. The agreement with experiment suggests a robust model of an active state of the beta(2)-adrenergic receptor has been produced. The methodology used here should be transferable to modeling the active state of other GPCRs. Proteins 2011; 79: 1441-1457. (C) 2011 Wiley-Liss, Inc.

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