Evidence map›Paper›PMID 32824756›Full record

ReviewInternational journal of molecular sciences2020

How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs.

Mariona Torrens-Fontanals, Tomasz Maciej Stepniewski, David Aranda-García, Adrián Morales-Pastor, Brian Medel-Lacruz, Jana Selent

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
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  11. Article
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  15. Article
  16. Review
  17. In Silico Study of Allosteric Communication Networks in GPCR Signaling Bias.International journal of molecular sciences · 2022
    Review
  18. Article
  19. Cholesterol in GPCR Structures: Prevalence and Relevance.The Journal of membrane biology · 2022
    Article
  20. Review
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

6 authors.

Mariona Torrens-FontanalsResearch Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM)-Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), 08003 Barcelona, Spain.ORCID 0000-0001-6233-8945
Tomasz Maciej StepniewskiResearch Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM)-Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), 08003 Barcelona, Spain.
David Aranda-GarcíaResearch Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM)-Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), 08003 Barcelona, Spain.ORCID 0000-0002-5476-2903
Adrián Morales-PastorResearch Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM)-Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), 08003 Barcelona, Spain.
Brian Medel-LacruzResearch Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM)-Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), 08003 Barcelona, Spain.
Jana SelentResearch Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM)-Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), 08003 Barcelona, Spain.

Funding

ERA-NET NEURON & Ministry of Economy, Industry and Competitiveness AC18/00030Instituto de Salud Carlos III FI19/00037Instituto de Salud Carlos III PI15/00460Instituto de Salud Carlos III PI18/00094Ministerio de Ciencia, Innovación y Universidades FPU16/01209Narodowym Centrum Nauki 2017/27/N/NZ2/02571
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) are implicated in nearly every physiological process in the human body and therefore represent an important drug targeting class. Advances in X-ray crystallography and cryo-electron microscopy (cryo-EM) have provided multiple static structures of GPCRs in complex with various signaling partners. However, GPCR functionality is largely determined by their flexibility and ability to transition between distinct structural conformations. Due to this dynamic nature, a static snapshot does not fully explain the complexity of GPCR signal transduction. Molecular dynamics (MD) simulations offer the opportunity to simulate the structural motions of biological processes at atomic resolution. Thus, this technique can incorporate the missing information on protein flexibility into experimentally solved structures. Here, we review the contribution of MD simulations to complement static structural data and to improve our understanding of GPCR physiology and pharmacology, as well as the challenges that still need to be overcome to reach the full potential of this technique.

Indexed as

Molecular Dynamics SimulationAnimalsCryoelectron MicroscopyCrystallography, X-RayDrug DiscoveryHumansLigandsMolecular Docking SimulationProtein BindingReceptors, G-Protein-CoupledLigandsReceptors, G-Protein-Coupleddrug discoveryGPCRsligand bindingmolecular dynamicsreceptor (in)activationreceptor signaling

Identifiers

PMID32824756
PMCPMC7460635

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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.