Evidence map›Paper›PMID 22275072›Full record

ArticleProteins2012

Do crystal structures obviate the need for theoretical models of GPCRs for structure-based virtual screening?

Hao Tang, Xiang Simon Wang, Jui-Hua Hsieh, Alexander Tropsha

Abstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Homology Modeling of the G Protein-Coupled Receptors.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Molecular determinants of ligand binding at the human histamine HJournal of chemical and pharmaceutical research · 2012
    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

4 authors.

Hao TangLaboratory for Molecular Modeling, Division of Medicinal Chemistry and Natural Products and Carolina Exploratory Center for Cheminformatics Research, School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7360, USA.
Xiang Simon Wang
Jui-Hua Hsieh
Alexander Tropsha

Funding

STRUCTURAL/FUNCTIONAL CHARACTERIZATION OF AMINOGLYCOSIDEG12RR003048 · NCRR · HOWARD UNIVERSITY · PI SOUTHERLAND, WILLIAM M. · 1985 to 2011
$19.0M
The District of Columbia Developmental Center for AIDS Research (DC D-CFAR)P30AI087714 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI MILLER, VERONICA · 2010 to 2014
$8.4M
PREDICTIVE QSAR MODELINGR01GM066940 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TROPSHA, ALEXANDER · 2003 to 2011
$3.0M
Carolina Exploratory Ctr:Cheminformatics Research(RMI)P20HG003898 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TROPSHA, ALEXANDER · 2005 to 2007
$1.1M
NCRR NIH HHS G12 RR003048NHGRI NIH HHS P20 HG003898NHGRI NIH HHS P20-HG003898NIAID NIH HHS P30 AI087714NIGMS NIH HHS GM066940NIGMS NIH HHS R01 GM066940
6 · The paper itself

Abstract

Recent highly expected structural characterizations of agonist-bound and antagonist-bound beta-2 adrenoreceptor (β2AR) by X-ray crystallography have been widely regarded as critical advances to enable more effective structure-based discovery of GPCRs ligands. It appears that this very important development may have undermined many previous efforts to develop 3D theoretical models of GPCRs. To address this question directly, we have compared several historical β2AR models versus the inactive state and nanobody-stabilized active state of β2AR crystal structures in terms of their structural similarity and effectiveness of use in virtual screening for β2AR specific agonists and antagonists. Theoretical models, incluing both homology and de novo types, were collected from five different groups who have published extensively in the field of GPCRs modeling. All models were built before X-ray structures became available. In general, β2AR theoretical models differ significantly from the crystal structure in terms of TMH definition and the global packing. Nevertheless, surprisingly, several models afforded hit rates resulting from virtual screening of large chemical library enriched by known β2AR ligands that exceeded those using X-ray structures. The hit rates were particularly higher for agonists. Furthemore, the screening performance of models is associated with local structural quality, such as the RMSDs for binding pocket residues and the ability to capture accurately, most if not all critical protein/ligand interactions. These results suggest that carefully built models of GPCRs could capture critical chemical and structural features of the binding pocket, and thus may be even more useful for practical structure-based drug discovery than X-ray structures.

Indexed as

Molecular Dynamics SimulationAdrenergic beta-2 Receptor AgonistsAdrenergic beta-2 Receptor AntagonistsAmino Acid SequenceBinding SitesCluster AnalysisComputational BiologyCrystallography, X-RayDrug DiscoveryHumansModels, MolecularMolecular Sequence DataReceptors, Adrenergic, beta-2Receptors, G-Protein-CoupledROC CurveSequence AlignmentAdrenergic beta-2 Receptor AgonistsAdrenergic beta-2 Receptor AntagonistsReceptors, Adrenergic, beta-2Receptors, G-Protein-Coupled

Identifiers

PMID22275072
PMCPMC4133977

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Registered trials

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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.