Quantifying biased agonism: understanding the links between affinity and efficacy.
about
Structure-based discovery of opioid analgesics with reduced side effects.Divergent transducer-specific molecular efficacies generate biased agonism at a G protein-coupled receptor (GPCR)Probing biased/partial agonism at the G protein-coupled A(2B) adenosine receptor.Bias analyses of preclinical and clinical D2 dopamine ligands: studies with immediate and complex signaling pathwaysA novel method for analyzing extremely biased agonism at G protein-coupled receptors.Identifying ligand-specific signalling within biased responses: focus on δ opioid receptor ligands.Recent developments in biased agonism.Biased agonism at G protein-coupled receptors: the promise and the challenges--a medicinal chemistry perspective.Biased agonism: An emerging paradigm in GPCR drug discovery.Superagonism at G protein-coupled receptors and beyond.Pancreatic islet inflammation: an emerging role for chemokines.Quantitative Measure of Receptor Agonist and Modulator Equi-Response and Equi-Occupancy Selectivity.Systematic errors in detecting biased agonism: Analysis of current methods and development of a new model-free approach.Biased signalling: from simple switches to allosteric microprocessors.An evaluation of the operational model when applied to quantify functional selectivity.
P2860
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P2860
Quantifying biased agonism: understanding the links between affinity and efficacy.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年学术文章
@wuu
2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
@yue
2013年學術文章
@zh
2013年學術文章
@zh-hant
name
Quantifying biased agonism: understanding the links between affinity and efficacy.
@en
Quantifying biased agonism: understanding the links between affinity and efficacy.
@nl
type
label
Quantifying biased agonism: understanding the links between affinity and efficacy.
@en
Quantifying biased agonism: understanding the links between affinity and efficacy.
@nl
prefLabel
Quantifying biased agonism: understanding the links between affinity and efficacy.
@en
Quantifying biased agonism: understanding the links between affinity and efficacy.
@nl
P356
P1476
Quantifying biased agonism: understanding the links between affinity and efficacy
@en
P2093
Sudarshan Rajagopal
P2888
P356
10.1038/NRD3954-C1
P577
2013-05-17T00:00:00Z