Evidence map›Paper›PMID 22197575›Full record

ArticleMethods (San Diego, Calif.)2011

Characterizing and predicting the functional and conformational diversity of seven-transmembrane proteins.

Ravinder Abrol, Soo-Kyung Kim, Jenelle K Bray, Adam R Griffith, William A Goddard

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Ligand- and mutation-induced conformational selection in the CCR5 chemokine G protein-coupled receptor.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  7. Review
  8. Recent developments in biased agonism.Current opinion in cell biology · 2014
    Review
  9. 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 · 2014
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ravinder AbrolMaterials and Process Simulation Center (MC 139-74), California Institute of Technology, 1200 E California Blvd, Pasadena, CA 91125, United States. abrol@wag.caltech.edu
Soo-Kyung Kim
Jenelle K Bray
Adam R Griffith
William A Goddard

Funding

Subtype Specific Agonists for D1-D5 Dopamine ReceptorsR21MH073910 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GODDARD, WILLIAM ANDREW · 2006 to 2007
$357k
NIMH NIH HHS 5R21MH073910NIMH NIH HHS R21 MH073910
6 · The paper itself

Abstract

The activation of seven-transmembrane receptors (7TMRs) allows cells to sense their environment and convert extracellular signals (like hormone binding) into intracellular signals (through G protein-coupled and/or β arrestin-coupled pathways). A single 7TMR is capable of transducing a wide spectrum of physiological responses inside a cell by coupling to these pathways. This intracellular pleiotropic action is enabled by multiple conformations exhibited by these receptors. Developments in membrane protein structure determination technologies have led to a rapid increase in crystal structures for many 7TMRs. Majority of these receptors have been crystallized in their inactive conformation and, for some, one of the many active conformations has also been crystallized. Given the topological constraints of a lipid bilayer that results in a single fold of seven almost parallel TM helices connected by mostly unstructured loops, these structures exhibit a diversity of conformations not only across the receptors but also across the different functional forms for receptors with structures for one of the functionally active conformations. Here we present a method to characterize this conformational diversity in terms of transmembrane helix topology (TMHTOP) parameters and how to use these helix orientation parameters to predict functionally-distinct multiple conformations for these receptors. The TMHTOP parameters enable a quantification of the structural changes that underlie 7TMR activation and also sheds a unique mechanistic light on the pleiotropic nature of these receptors. It provides a common language to describe the 7TMR activation mechanisms as well as differences across many receptors in terms of visually intuitive structural parameters. Protein structure prediction methods can use these parameters to describe 7TMR conformational ensembles, which coupled to experimental data can be used to develop testable hypotheses for the structural basis of 7TMR functions.

Indexed as

AlgorithmsAmino Acid SequenceAnimalsComputer SimulationHumansHydrophobic and Hydrophilic InteractionsModels, MolecularMolecular Dynamics SimulationProtein Structure, SecondaryProtein Structure, TertiaryReceptors, G-Protein-CoupledRhodopsinStatistics, NonparametricStructural Homology, ProteinReceptors, G-Protein-CoupledRhodopsin

Identifiers

PMID22197575
PMCPMC3286597

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.