Evidence map›Paper›PMID 27166369›Full record

ArticleNucleic acids research2016

GPCR-ModSim: A comprehensive web based solution for modeling G-protein coupled receptors.

Mauricio Esguerra, Alexey Siretskiy, Xabier Bello, Jessica Sallander, Hugo Gutiérrez-de-Terán

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Homology Modeling of the G Protein-Coupled Receptors.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  7. Article
  8. AJournal for immunotherapy of cancer · 2022
    Article
  9. Slow conformational dynamics of the human AStructure (London, England : 1993) · 2022
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Free Energy Calculations for Protein-Ligand Binding Prediction.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  17. Article
  18. Review
  19. Article
  20. 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

5 authors.

Mauricio EsguerraDepartment of Cell and Molecular Biology, Uppsala University, Biomedical Center, Box 596, SE-751 24, Uppsala, Sweden.
Alexey SiretskiyDepartment of Cell and Molecular Biology, Uppsala University, Biomedical Center, Box 596, SE-751 24, Uppsala, Sweden.
Xabier BelloFundación Pública Galega de Medicina Xenómica, Hospital Clínico Universitario de Santiago, Santiago de Compostela, 15706, Spain.
Jessica SallanderDepartment of Cell and Molecular Biology, Uppsala University, Biomedical Center, Box 596, SE-751 24, Uppsala, Sweden.
Hugo Gutiérrez-de-TeránDepartment of Cell and Molecular Biology, Uppsala University, Biomedical Center, Box 596, SE-751 24, Uppsala, Sweden hugo.gutierrez@icm.uu.se.ORCID http://orcid.org/0000-0003-0459-3491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GPCR-ModSim (http://open.gpcr-modsim.org) is a centralized and easy to use service dedicated to the structural modeling of G-protein Coupled Receptors (GPCRs). 3D molecular models can be generated from amino acid sequence by homology-modeling techniques, considering different receptor conformations. GPCR-ModSim includes a membrane insertion and molecular dynamics (MD) equilibration protocol, which can be used to refine the generated model or any GPCR structure uploaded to the server, including if desired non-protein elements such as orthosteric or allosteric ligands, structural waters or ions. We herein revise the main characteristics of GPCR-ModSim and present new functionalities. The templates used for homology modeling have been updated considering the latest structural data, with separate profile structural alignments built for inactive, partially-active and active groups of templates. We have also added the possibility to perform multiple-template homology modeling in a unique and flexible way. Finally, our new MD protocol considers a series of distance restraints derived from a recently identified conserved network of helical contacts, allowing for a smoother refinement of the generated models which is particularly advised when there is low homology to the available templates. GPCR- ModSim has been tested on the GPCR Dock 2013 competition with satisfactory results.

Indexed as

InternetModels, MolecularSoftwareAlgorithmsAllosteric RegulationAmino Acid SequenceHumansLigandsMolecular Dynamics SimulationReceptor, Angiotensin, Type 2Receptors, G-Protein-CoupledLigandsReceptor, Angiotensin, Type 2Receptors, G-Protein-Coupled

Identifiers

PMID27166369
PMCPMC4987938

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.