Evidence map›Paper›PMID 22173949›Full record

ArticleProteins2012

Bihelix: Towards de novo structure prediction of an ensemble of G-protein coupled receptor conformations.

Ravinder Abrol, Jenelle K Bray, William A Goddard

Open access · greenAbstract read
In one paragraph

Article in Proteins, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

21 citing papers in PubMed, 47 citations in OpenAlex.

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  10. Activation mechanism of the G protein-coupled sweet receptor heterodimer with sweeteners and allosteric agonists.Proceedings of the National Academy of Sciences of the United States of America · 2017
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  15. 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
  16. 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
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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

3 authors at 2 institutions in 1 country.

Ravinder AbrolMaterials and Process Simulation Center (MC 139-74), Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125. abrol@wag.caltech.edu.
Jenelle K Bray
William A Goddard
California Institute of Technology · USStanford University · US

Funding

A Novel Method of Nanoparticle Delivery to Brain by Targeting Ec-gp96R01NS071112 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI DAVIS, MARK E · 2010 to 2012
$972k
Subtype Specific Agonists for D1-D5 Dopamine ReceptorsR21MH073910 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GODDARD, WILLIAM ANDREW · 2006 to 2007
$357k
NIMH NIH HHS R21 MH073910NIMH NIH HHS R21MH073910NINDS NIH HHS R01 NS071112NINDS NIH HHS R01NS071112
6 · The paper itself

Abstract

G-Protein Coupled Receptors (GPCRs) play a critical role in cellular signal transduction pathways and are prominent therapeutic targets. Recently there has been major progress in obtaining experimental structures for a few GPCRs. Each GPCR, however, exhibits multiple conformations that play a role in their function and we have been developing methods aimed at predicting structures for all these conformations. Analysis of available structures shows that these conformations differ in relative helix tilts and rotations. The essential issue is, determining how to orient each of the seven helices about its axis since this determines how it interacts with the other six helices. Considering all possible helix rotations to ensure that no important packings are overlooked, and using rotation angle increments of 30° about the helical axis would still lead to 12(7) or 35 million possible conformations each with optimal residue positions. We show in this paper how to accomplish this. The fundamental idea is to optimize the interactions between each pair of contacting helices while ignoring the other 5 and then to estimate the energies of all 35 million combinations using these pair-wise interactions. This BiHelix approach dramatically reduces the effort to examine the complete set of conformations and correctly identifies the crystal packing for the experimental structures plus other near-native packings we believe may play an important role in activation. This approach also enables a detailed structural analysis of functionally distinct conformations using helix-helix interaction energy landscapes and should be useful for other helical transmembrane proteins as well.

Indexed as

Models, MolecularAlgorithmsMembrane ProteinsProtein ConformationReceptors, G-Protein-CoupledReproducibility of ResultsMembrane ProteinsReceptors, G-Protein-Coupledconformational ensembleGPCRshelical membrane proteinshelix-helix interactionsprotein structure prediction

Identifiers

PMID22173949
PMCPMC3310341
OpenAlexW2102809572

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.