Evidence map›Paper›PMID 25679268›Full record

ArticleJournal of medicinal chemistry2015

A binding mode hypothesis of tiagabine confirms liothyronine effect on γ-aminobutyric acid transporter 1 (GAT1).

Andreas Jurik, Barbara Zdrazil, Marion Holy, Thomas Stockner, Harald H Sitte, Gerhard F Ecker

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Frontiers in neuroscience · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Modeling and Simulation ofComputational and structural biotechnology journal · 2019
    Article
  15. Article
  16. Frontiers in chemistry · 2018
    Article
  17. Empowering pharmacoinformatics by linked life science data.Journal of computer-aided molecular design · 2017
    Article
  18. 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

6 authors.

Andreas JurikUniversity of Vienna , Department of Pharmaceutical Chemistry, Division of Drug Design and Medicinal Chemistry, Althanstraße 14, 1090 Vienna, Austria.
Barbara Zdrazil
Marion Holy
Thomas Stockner
Harald H Sitte
Gerhard F Ecker

Funding

Austrian Science Fund FWF F 3502Austrian Science Fund FWF F 3524Austrian Science Fund FWF W 1232
6 · The paper itself

Abstract

Elevating GABA levels in the synaptic cleft by inhibiting its reuptake carrier GAT1 is an established approach for the treatment of CNS disorders like epilepsy. With the increasing availability of crystal structures of transmembrane transporters, structure-based approaches to elucidate the molecular basis of ligand-transporter interaction also become feasible. Experimental data guided docking of derivatives of the GAT1 inhibitor tiagabine into a protein homology model of GAT1 allowed derivation of a common binding mode for this class of inhibitors that is able to account for the distinct structure-activity relationship pattern of the data set. Translating essential binding features into a pharmacophore model followed by in silico screening of the DrugBank identified liothyronine as a drug potentially exerting a similar effect on GAT1. Experimental testing further confirmed the GAT1 inhibiting properties of this thyroid hormone.

Indexed as

Molecular Docking SimulationComputer SimulationGABA AgonistsGABA Plasma Membrane Transport Proteinsgamma-Aminobutyric AcidHEK293 CellsHigh-Throughput Screening AssaysHumansModels, MolecularMolecular StructureNipecotic AcidsStructure-Activity RelationshipTiagabineTriiodothyronineGABA AgonistsGABA Plasma Membrane Transport Proteinsgamma-Aminobutyric AcidNipecotic AcidsSLC6A1 protein, humanTiagabineTriiodothyronine

Identifiers

PMID25679268
PMCPMC4360375

What OpenQuestion holds

Textmetadata
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.