A simple method for quantifying functional selectivity and agonist bias.
Terry P. Kenakin,Christian Watson,Vanessa Muniz-Medina,Arthur Christopoulos,Steven J. Novick +4 more
TLDR
A scale based on the Black and Leff operational model that contains the key elements required to describe 7TM agonism, namely, affinity for the receptor and efficacy in activating a particular signaling pathway, can statistically evaluate selective agonist effects in a manner that can theoretically inform structure-activity studies and/or drug candidate selection matrices.Abstract:
Activation of seven-transmembrane (7TM) receptors by agonists does not always lead to uniform activation of all signaling pathways mediated by a given receptor. Relative to other ligands, many agonists are “biased” toward producing subsets of receptor behaviors. A hallmark of such “functional selectivity” is cell type dependence; this poses a particular problem for the profiling of agonists in whole cell test systems removed from the therapeutic one(s). Such response-specific cell-based variability makes it difficult to guide medicinal chemistry efforts aimed at identifying and optimizing therapeutically meaningful agonist bias. For this reason, we present a scale, based on the Black and Leff operational model, that contains the key elements required to describe 7TM agonism, namely, affinity (KA–1) for the receptor and efficacy (τ) in activating a particular signaling pathway. Utilizing a “transduction coefficient” term, log(τ/KA), this scale can statistically evaluate selective agonist effects in a manne...read more
Citations
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Journal ArticleDOI
Signalling bias in new drug discovery: detection, quantification and therapeutic impact
TL;DR: A viewpoint on which methods are appropriate for quantifying bias is provided, based on knowledge of how cellular and intracellular signalling proteins control the conformation of seven-transmembrane receptors.
Journal ArticleDOI
Structural Features for Functional Selectivity at Serotonin Receptors
Daniel Wacker,Chong Wang,Vsevolod Katritch,Gye Won Han,Xi Ping Huang,Eyal Vardy,John D. McCorvy,Yi Jiang,Yi Jiang,Meihua Chu,Fai Yiu Siu,Wei Liu,H. Eric Xu,Vadim Cherezov,Bryan L. Roth,Raymond C. Stevens +15 more
TL;DR: Biochemical studies showing that the hallucinogen lysergic acid diethylamide, its precursor ergotamine (ERG), and related ergolines display strong functional selectivity for β-arrestin signaling at the 5-HT2B 5-hydroxytryptamine (5-HT) receptor, whereas they are relatively unbiased at the 4-HT1B receptor are reported.
Journal ArticleDOI
Biased signalling: from simple switches to allosteric microprocessors
TL;DR: 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.
Journal ArticleDOI
How Ligands Illuminate GPCR Molecular Pharmacology.
TL;DR: Structural and molecular insights into ligand engagement and action have enabled new computational methods and accelerated the discovery of novel ligands and tool compounds, especially for understudied andorphan GPCRs, and promise to streamline the development of GPCR-targeted medications.
Journal ArticleDOI
Bias Factor and Therapeutic Window Correlate to Predict Safer Opioid Analgesics
Cullen L. Schmid,Nicole M. Kennedy,Nicolette C. Ross,Kimberly M. Lovell,Zhizhou Yue,Jenny Morgenweck,Michael D. Cameron,Thomas D. Bannister,Laura M. Bohn +8 more
TL;DR: It is found that βarrestin-biased compounds, such as fentanyl, are more likely to induce respiratory suppression at weak analgesic doses, while G protein signaling bias broadens the therapeutic window, allowing for antinociception in the absence of respiratory suppression.
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