ReviewProtein science : a publication of the Protein Society2009
G-protein-coupled receptor structures were not built in a day.
Review in Protein science : a publication of the Protein Society, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Thermodynamic role of receptor phosphorylation barcode in cannabinoid receptor desensitization.Biochemical and biophysical research communications · 2025Article
- Development of enhanced conformational sampling methods to probe the activation landscape of GPCRs.Advances in protein chemistry and structural biology · 2022Review
- Stabilization of G protein-coupled receptors by point mutations.Frontiers in pharmacology · 2015Review
- SuperBiHelix method for predicting the pleiotropic ensemble of G-protein-coupled receptor conformations.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Phasing statistics for alpha helical membrane protein structures.Protein science : a publication of the Protein Society · 2013Article
- Solid-state NMR analysis of membrane proteins and protein aggregates by proton detected spectroscopy.Journal of biomolecular NMR · 2012Article
- Bihelix: Towards de novo structure prediction of an ensemble of G-protein coupled receptor conformations.Proteins · 2012Article
- Characterizing and predicting the functional and conformational diversity of seven-transmembrane proteins.Methods (San Diego, Calif.) · 2011Article
- Crystallization chaperone strategies for membrane proteins.Methods (San Diego, Calif.) · 2011Review
- From molecular details of the interplay between transmembrane helices of the thyrotropin receptor to general aspects of signal transduction in family a G-protein-coupled receptors (GPCRs).The Journal of biological chemistry · 2011Article
- Crystallizing transmembrane peptides in lipidic mesophases.Biophysical journal · 2010Article
- Structural insights into conformational stability of wild-type and mutant beta1-adrenergic receptor.Biophysical journal · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Among the most exciting recent developments in structural biology is the structure determination of G-protein-coupled receptors (GPCRs), which comprise the largest class of membrane proteins in mammalian cells and have enormous importance for disease and drug development. The GPCR structures are perhaps the most visible examples of a nascent revolution in membrane protein structure determination. Like other major milestones in science, however, such as the sequencing of the human genome, these achievements were built on a hidden foundation of technological developments. Here, we describe some of the methods that are fueling the membrane protein structure revolution and have enabled the determination of the current GPCR structures, along with new techniques that may lead to future structures.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.