Evidence map›Paper›PMID 27723562›Full record

ArticleJournal of molecular graphics & modelling2016

Homology modeling of a Class A GPCR in the inactive conformation: A quantitative analysis of the correlation between model/template sequence identity and model accuracy.

Stefano Costanzi, Matthew Skorski, Alessandro Deplano, Brett Habermehl, Mary Mendoza, Keyun Wang, Michelle Biederman, Jessica Dawson, Jia Gao

Open access · greenAbstract read
In one paragraph

Article in Journal of molecular graphics & modelling, 2016. 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
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

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  8. Chiral analogues of (+)-cyclazosin as potent αBioorganic & medicinal chemistry · 2018
    Article
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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

9 authors at 1 institution in 1 country.

Stefano CostanziDepartment of Chemistry, American University, Washington, DC 20016, USA; Center for Behavioral Neuroscience, American University, Washington, DC 20016, USA. Electronic address: costanzi@american.edu.
Matthew SkorskiDepartment of Chemistry, American University, Washington, DC 20016, USA.
Alessandro DeplanoDepartment of Chemistry, American University, Washington, DC 20016, USA.
Brett HabermehlDepartment of Chemistry, American University, Washington, DC 20016, USA.
Mary MendozaDepartment of Chemistry, American University, Washington, DC 20016, USA.
Keyun WangDepartment of Chemistry, American University, Washington, DC 20016, USA.
Michelle BiedermanDepartment of Chemistry, American University, Washington, DC 20016, USA.
Jessica DawsonDepartment of Chemistry, American University, Washington, DC 20016, USA.
Jia GaoDepartment of Chemistry, American University, Washington, DC 20016, USA.
American University · US

Funding

Enabling the application of Virtual Screening to GPCR Homology ModelsR15GM119084 · NIGMS · AMERICAN UNIVERSITY · PI COSTANZI, STEFANO · 2016 to 2016
$251k
NIGMS NIH HHS R15 GM119084
6 · The paper itself

Abstract

With the present work we quantitatively studied the modellability of the inactive state of Class A G protein-coupled receptors (GPCRs). Specifically, we constructed models of one of the Class A GPCRs for which structures solved in the inactive state are available, namely the β

Indexed as

Models, MolecularStructural Homology, ProteinAmino Acid SequencePhylogenyProtein ConformationReceptors, G-Protein-CoupledSequence AlignmentReceptors, G-Protein-CoupledGPCRsG protein-coupled receptorsHomology modelingSequence alignmentβ(2) adrenergic receptor

Identifiers

PMID27723562
PMCPMC5138091
OpenAlexW2529629629

What OpenQuestion holds

Textmetadata
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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.