Evidence map›Paper›PMID 28582569›Full record

ArticleNucleic acids research2017

GPCR-SSFE 2.0-a fragment-based molecular modeling web tool for Class A G-protein coupled receptors.

Catherine L Worth, Franziska Kreuchwig, Johanna K S Tiemann, Annika Kreuchwig, Michele Ritschel, Gunnar Kleinau, Peter W Hildebrand, Gerd Krause

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Catherine L WorthDepartment of Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), D-13125 Berlin, Germany.
Franziska KreuchwigDepartment of Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), D-13125 Berlin, Germany.
Johanna K S TiemannInstitute of Medical Physics and Biophysics, Charité-Universitätsmedizin, D-10117 Berlin, Germany.
Annika KreuchwigDepartment of Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), D-13125 Berlin, Germany.
Michele RitschelInstitute of Medical Physics and Biophysics, Charité-Universitätsmedizin, D-10117 Berlin, Germany.
Gunnar KleinauInstitute of Medical Physics and Biophysics, Charité-Universitätsmedizin, D-10117 Berlin, Germany.
Peter W HildebrandInstitute of Medical Physics and Biophysics, Charité-Universitätsmedizin, D-10117 Berlin, Germany.
Gerd KrauseDepartment of Structural Biology, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), D-13125 Berlin, Germany.
Leibniz-Forschungsinstitut für Molekulare Pharmakologie · DECharité - Universitätsmedizin Berlin · DELeipzig University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G-protein coupled receptors (GPCRs) are key players in signal transduction and therefore a large proportion of pharmaceutical drugs target these receptors. Structural data of GPCRs are sparse yet important for elucidating the molecular basis of GPCR-related diseases and for performing structure-based drug design. To ameliorate this problem, GPCR-SSFE 2.0 (http://www.ssfa-7tmr.de/ssfe2/), an intuitive web server dedicated to providing three-dimensional Class A GPCR homology models has been developed. The updated web server includes 27 inactive template structures and incorporates various new functionalities. Uniquely, it uses a fingerprint correlation scoring strategy for identifying the optimal templates, which we demonstrate captures structural features that sequence similarity alone is unable to do. Template selection is carried out separately for each helix, allowing both single-template models and fragment-based models to be built. Additionally, GPCR-SSFE 2.0 stores a comprehensive set of pre-calculated and downloadable homology models and also incorporates interactive loop modeling using the tool SL2, allowing knowledge-based input by the user to guide the selection process. For visual analysis, the NGL viewer is embedded into the result pages. Finally, blind-testing using two recently published structures shows that GPCR-SSFE 2.0 performs comparably or better than other state-of-the art GPCR modeling web servers.

Indexed as

Models, MolecularSoftwareAnimalsHumansInternetMiceRatsReceptors, G-Protein-CoupledSequence AlignmentSequence Analysis, ProteinStructural Homology, ProteinReceptors, G-Protein-Coupled

Identifiers

PMID28582569
PMCPMC5570183
OpenAlexW2620937603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.