Literature DB >> 24793542

Modeling G protein-coupled receptors in complex with biased agonists.

Stefano Costanzi1.   

Abstract

The biological response to the activation of G protein-coupled receptors (GPCRs) typically originates from the simultaneous modulation of various signaling pathways that lead to distinct biological consequences. Hence, 'biased agonists' (i.e., compounds that selectively activate one of the pathways while blocking the others) are highly sought-after molecules to provide fine-tuned pharmacological interventions. This review describes strategies that can be deployed to model the conformation of GPCRs in complex with ligands endowed with specific signaling profiles useful for the generation of hypotheses on the structural requirements for the activation of different signaling pathways or for rational computer-aided ligand discovery campaigns. In particular, it focuses on strategies potentially applicable to model the global or local conformational states of GPCRs stabilized by specific ligands.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  flexible docking; global conformational changes; local conformational changes; molecular dynamics; normal mode analysis; virtual screening

Mesh:

Substances:

Year:  2014        PMID: 24793542     DOI: 10.1016/j.tips.2014.04.004

Source DB:  PubMed          Journal:  Trends Pharmacol Sci        ISSN: 0165-6147            Impact factor:   14.819


  3 in total

Review 1.  Fulfilling the Promise of "Biased" G Protein-Coupled Receptor Agonism.

Authors:  Louis M Luttrell; Stuart Maudsley; Laura M Bohn
Journal:  Mol Pharmacol       Date:  2015-07-01       Impact factor: 4.436

Review 2.  Biased agonism: An emerging paradigm in GPCR drug discovery.

Authors:  Zoran Rankovic; Tarsis F Brust; Laura M Bohn
Journal:  Bioorg Med Chem Lett       Date:  2015-12-09       Impact factor: 2.823

3.  Diverse arrestin-recruiting and endocytic profiles of tricyclic antipsychotics acting as direct α2A adrenergic receptor ligands.

Authors:  Christopher Cottingham; Pulin Che; Wei Zhang; Hongxia Wang; Raymond X Wang; Stefanie Percival; Tana Birky; Lufang Zhou; Kai Jiao; Qin Wang
Journal:  Neuropharmacology       Date:  2016-12-09       Impact factor: 5.250

  3 in total

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