Evidence map›Paper›PMID 23468878›Full record

ArticlePloS one2013

Towards improved quality of GPCR models by usage of multiple templates and profile-profile comparison.

Dorota Latek, Pawel Pasznik, Teresa Carlomagno, Slawomir Filipek

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 54 citations in OpenAlex.

  1. GPCRVS - AI-driven Decision Support System for GPCR Virtual Screening.International journal of molecular sciences · 2025
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  18. What can we learn from molecular dynamics simulations for GPCR drug design?Computational and structural biotechnology journal · 2015
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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

4 authors at 2 institutions in 1 country.

Dorota LatekInternational Institute of Molecular and Cell Biology, Warsaw, Poland. dlatek@iimcb.gov.pl
Pawel Pasznik
Teresa Carlomagno
Slawomir Filipek
International Institute of Molecular and Cell Biology · PLUniversity of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledG-protein coupled receptors (GPCRs) are targets of nearly one third of the drugs at the current pharmaceutical market. Despite their importance in many cellular processes the crystal structures are available for less than 20 unique GPCRs of the Rhodopsin-like class. Fortunately, even though involved in different signaling cascades, this large group of membrane proteins has preserved a uniform structure comprising seven transmembrane helices that allows quite reliable comparative modeling. Nevertheless, low sequence similarity between the GPCR family members is still a serious obstacle not only in template selection but also in providing theoretical models of acceptable quality. An additional level of difficulty is the prediction of kinks and bulges in transmembrane helices. Usage of multiple templates and generation of alignments based on sequence profiles may increase the rate of success in difficult cases of comparative modeling in which the sequence similarity between GPCRs is exceptionally low. Here, we present GPCRM, a novel method for fast and accurate generation of GPCR models using averaging of multiple template structures and profile-profile comparison. In particular, GPCRM is the first GPCR structure predictor incorporating two distinct loop modeling techniques: Modeller and Rosetta together with the filtering of models based on the Z-coordinate. We tested our approach on all unique GPCR structures determined to date and report its performance in comparison with other computational methods targeting the Rhodopsin-like class. We also provide a database of precomputed GPCR models of the human receptors from that class. AVAILABILITY: GPCRM SERVER AND DATABASE: http://gpcrm.biomodellab.eu.

Indexed as

Models, MolecularAdrenergic beta-1 Receptor AntagonistsHumansMolecular Docking SimulationProtein ConformationReceptor, Adenosine A2AReceptors, Adrenergic, beta-1Receptors, CalcitriolReceptors, G-Protein-CoupledRhodopsinAdrenergic beta-1 Receptor AntagonistsReceptor, Adenosine A2AReceptors, Adrenergic, beta-1Receptors, CalcitriolReceptors, G-Protein-CoupledRhodopsin

Identifiers

PMID23468878
PMCPMC3585245
OpenAlexW2011223793

What OpenQuestion holds

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LicenceCC BY
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.