Evidence map›Paper›PMID 24344284›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

SuperBiHelix method for predicting the pleiotropic ensemble of G-protein-coupled receptor conformations.

Jenelle K Bray, Ravinder Abrol, William A Goddard, Bartosz Trzaskowski, Caitlin E Scott

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Mechanism of β-arrestin recruitment by the μ-opioid G protein-coupled receptor.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. The atomistic level structure for the activated human κ-opioid receptor bound to the full Gi protein and the MP1104 agonist.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. G protein-coupled odorant receptors: From sequence to structure.Protein science : a publication of the Protein Society · 2015
    Article
  19. Article
  20. 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
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.

Jenelle K BrayMaterials and Process Simulation Center, California Institute of Technology, Pasadena, CA 91125.
Ravinder Abrol
William A Goddard
Bartosz Trzaskowski
Caitlin E Scott

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is overwhelming evidence that G-protein-coupled receptors (GPCRs) exhibit several distinct low-energy conformations, each of which might favor binding to different ligands and/or lead to different downstream functions. Understanding the function of such proteins requires knowledge of the ensemble of low-energy configurations that might play a role in this pleiotropic functionality. We earlier reported the BiHelix method for efficiently sampling the (12)(7) = 35 million conformations resulting from 30° rotations about the axis (η) of all seven transmembrane helices (TMHs), showing that the experimental structure is reliably selected as the best conformation from this ensemble. However, various GPCRs differ sufficiently in the tilts of the TMHs that this method need not predict the optimum conformation starting from any other template. In this paper, we introduce the SuperBiHelix method in which the tilt angles (θ, ϕ) are optimized simultaneously with rotations (η) efficiently enough that it is practical and sufficient to sample (5 × 3 × 5)(7) = 13 trillion configurations. This method can correctly identify the optimum structure of a GPCR starting with the template from a different GPCR. We have validated this method by predicting known crystal structure conformations starting from the template of a different protein structure. We find that the SuperBiHelix conformational ensemble includes the higher energy conformations associated with the active protein in addition to those associated with the more stable inactive protein. This methodology was then applied to design and experimentally confirm structures of three mutants of the CB1 cannabinoid receptor associated with different functions.

Indexed as

AlgorithmsBinding SitesComputational BiologyCrystallography, X-RayHumansLigandsMolecular Docking SimulationMutationProtein BindingProtein Structure, TertiaryReceptor, Adenosine A2AReceptor, Cannabinoid, CB1Receptors, Adrenergic, beta-2Receptors, G-Protein-CoupledSoftwareLigandsReceptor, Adenosine A2AReceptor, Cannabinoid, CB1Receptors, Adrenergic, beta-2Receptors, G-Protein-CoupledA2A adenosine receptorconstitutive activityfunctional selectivityprotein structure predictionβ2-adrenergic receptor

Identifiers

PMID24344284
PMCPMC3890820

What OpenQuestion holds

Textmetadata
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.