4.8 Review

Biased signalling: from simple switches to allosteric microprocessors

Journal

NATURE REVIEWS DRUG DISCOVERY
Volume 17, Issue 4, Pages 243-260

Publisher

NATURE RESEARCH
DOI: 10.1038/nrd.2017.229

Keywords

-

Funding

  1. NIH [T32GM7171, HL16037, HL114643, GM122798]
  2. Duke Medical Scientist Training Program
  3. Burroughs Wellcome Career Award for Medical Scientists

Ask authors/readers for more resources

G protein-coupled receptors (GPCRs) are the largest class of receptors in the human genome and some of the most common drug targets. It is now well established that GPCRs can signal through multiple transducers, including heterotrimeric G proteins, GPCR kinases and beta-arrestins. While these signalling pathways can be activated or blocked by 'balanced' agonists or antagonists, they can also be selectively activated in a 'biased' response. Biased responses can be induced by biased ligands, biased receptors or system bias, any of which can result in preferential signalling through G proteins or beta-arrestins. At many GPCRs, signalling events mediated by G proteins and beta-arrestins have been shown to have distinct biochemical and physiological actions from one another, and an accurate evaluation of biased signalling from pharmacology through physiology is crucial for preclinical drug development. Recent structural studies have provided snapshots of GPCR-transducer complexes, which should aid in the structure-based design of novel biased therapies. Our understanding of GPCRs has evolved from that of two-state, on-and-off switches to that of multistate allosteric microprocessors, in which biased ligands transmit distinct structural information that is processed into distinct biological outputs. The development of biased ligands as therapeutics heralds an era of increased drug efficacy with reduced drug side effects.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available