ReviewCombinatorial chemistry & high throughput screening2008
State-selective binding peptides for heterotrimeric G-protein subunits: novel tools for investigating G-protein signaling dynamics.
Review in Combinatorial chemistry & high throughput screening, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
10 citing papers in PubMed, 11 citations in OpenAlex.
- Innovative Approach Reveals How Receptors Control G Protein State Equilibria.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Location bias contributes to functionally selective responses of biased CXCR3 agonists.Nature communications · 2022Article
- Targeting Gαi/s Proteins with Peptidyl Nucleotide Exchange Modulators.ACS chemical biology · 2022Article
- Strategies towards Targeting Gαi/s Proteins: Scanning of Protein-Protein Interaction Sites To Overcome Inaccessibility.ChemMedChem · 2021Review
- Revealing the Activity of Trimeric G-proteins in Live Cells with a Versatile Biosensor Design.Cell · 2020Article
- Potent and Selective Peptide-based Inhibition of the G Protein Gαq.The Journal of biological chemistry · 2016Article
- A cell-permeable inhibitor to trap Gαq proteins in the empty pocket conformation.Chemistry & biology · 2014Article
- A P-loop mutation in Gα subunits prevents transition to the active state: implications for G-protein signaling in fungal pathogenesis.PLoS pathogens · 2012Article
- Regulators of G-protein signaling and their Gα substrates: promises and challenges in their use as drug discovery targets.Pharmacological reviews · 2011Review
- Ligand-based peptide design and combinatorial peptide libraries to target G protein-coupled receptors.Current pharmaceutical design · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
Heterotrimeric G-proteins, comprising Galpha, Gbeta, and Ggamma subunits, are molecular switches that regulate numerous signaling pathways involved in cellular physiology. This characteristic is achieved by the adoption of two principal states: an inactive state in which GDP-bound Galpha is complexed with the Gbetagamma dimer, and an active state in which GTP-bound Galpha is freed of its Gbetagamma binding partner. Structural studies have illustrated the basis for the distinct conformations of these states which are regulated by alterations in three precise 'switch regions' of the Galpha subunit. Discrete differences in conformation between GDP- and GTP-bound Galpha underlie its nucleotide-dependent protein-protein interactions (e.g., with Gbetagamma/receptor and effectors, respectively) that are critical for maintaining their proper nucleotide cycling and signaling properties. Recently, several screening approaches have been used to identify peptide sequences capable of interacting with Galpha (and free Gbetagamma) in nucleotide-dependent fashions. These peptides have demonstrated applications in direct modulation of the nucleotide cycle, assessing the structural basis for aspects of Galpha and Gbetagamma signaling, and serving as biosensor tools in assays for Galpha activation including high throughput drug screening. In this review, we highlight some of the methods used for such discoveries and discuss the insights that can be gleaned from application of these identified peptides.
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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.