Evidence map›Paper›PMID 30218455›Full record

ArticleProteins2018

Prediction of GABARAP interaction with the GABA type A receptor.

B W J Irwin, Siniša Vukovič, M C Payne, Mohammad ElGamacy, P-L Chau

Open access · hybridAbstract read
In one paragraph

Article in Proteins, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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 at 3 institutions in 3 countries.

B W J IrwinDepartment of Physics, Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom.
Siniša VukovičDepartment of Physics, Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom.
M C PayneDepartment of Physics, Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom.
Mohammad ElGamacyAbteilung Proteinevolution, Max-Planck-Institut für Entwicklungsbiologie, Tübingen, Germany.
P-L ChauBioinformatique Structurale, CNRS URA 3528, Paris, France.ORCID 0000-0003-3614-1561
University of Cambridge · GBCentre National de la Recherche Scientifique · FRMax Planck Institute for Developmental Biology · DE

Funding

Medical Research Council ML/L007266/1Medical Research Council MR/L007266/1
6 · The paper itself

Abstract

We have performed docking simulations on GABARAP interacting with the GABA type A receptor using SwarmDock. We have also used a novel method to study hydration sites on the surface of these two proteins; this method identifies regions around proteins where desolvation is relatively easy, and these are possible locations where proteins can bind each other. There is a high degree of consistency between the predictions of these two methods. Moreover, we have also identified binding sites on GABARAP for other proteins, and listed possible binding sites for as yet unknown proteins on both GABARAP and the GABA type A receptor intracellular domain.

Indexed as

Molecular Docking SimulationAdaptor Proteins, Signal TransducingApoptosis Regulatory ProteinsBinding SitesDatabases, ProteinHumansMicrotubule-Associated ProteinsProtein ConformationProtein MultimerizationReceptors, GABA-AThermodynamicsAdaptor Proteins, Signal TransducingApoptosis Regulatory ProteinsGABARAP protein, humanMicrotubule-Associated ProteinsReceptors, GABA-Afree energy changeGABAA receptorGABARAP

Identifiers

PMID30218455
PMCPMC6492159
OpenAlexW2892370884

What OpenQuestion holds

Textmetadata
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.