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PMID: 17644195 Published · ppublish English Journal Article Review

Beta-arrestin-biased ligands at seven-transmembrane receptors.

Trends in pharmacological sciences ·Vol. 28 ·No. 8 ·2007-08-00 ·Pages 416-22

Violin JD, Lefkowitz RJ

Abstract

Seven-transmembrane receptors (7TMRs), the most common molecular targets of modern drug therapy, are critically regulated by beta-arrestins, which both inhibit classic G-protein signaling and initiate distinct beta-arrestin signaling. The interplay of G-protein and beta-arrestin signals largely determines the cellular consequences of 7TMR-targeted drugs. Until recently, a drug's efficacy for beta-arrestin recruitment was believed to be proportional to its efficacy for G-protein activities. This paradigm restricts 7TMR drug effects to a linear spectrum of responses, ranging from inhibition of all responses to stimulation of all responses. However, it is now clear that 'biased ligands' can selectively activate G-protein or beta-arrestin functions and thus elicit novel biological effects from even well-studied 7TMRs. Here, we discuss the current state of beta-arrestin-biased ligand research and the prospects for beta-arrestin bias as a therapeutic target. Consideration of ligand bias might have profound influences on the way scientists approach 7TMR-targeted drug discovery.

MeSH Terms
Allosteric Regulation Animals Arrestins/chemistry,metabolism,pharmacology Drug Design Humans Ligands Models, Biological Protein Binding Receptors, G-Protein-Coupled/chemistry,metabolism Signal Transduction/drug effects beta-Arrestins
Chemicals
Arrestins Ligands Receptors, G-Protein-Coupled beta-Arrestins seven-transmembrane G-protein-coupled receptor
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Violin Jonathan D
Department of Medicine, Howard Hughes Medical Institute, Duke University Medical Center, Durham, North Carolina 27710, USA.
Lefkowitz Robert J
Article Info
Journal
Trends in pharmacological sciences
Abbr.
Trends Pharmacol Sci
ISSN
0165-6147
Published
2007-08-00
Epub
2007-00-20
Pages
416-22
Language
English
Region
England
NLM ID
7906158
Subset
IM
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