Evidence map›Paper›PMID 29932138›Full record

ReviewMolecules (Basel, Switzerland)2018

Structure-Dependent Activity of Natural GABA(A) Receptor Modulators.

Serhat Sezai Çiçek

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Essential Oil from the Leaves ofPharmaceuticals (Basel, Switzerland) · 2021
    Article
  10. Review
  11. Review
  12. Coumarins fromInternational journal of molecular sciences · 2021
    Article
  13. Review
  14. Comprehensive Analysis of GABAInternational journal of molecular sciences · 2020
    Article
  15. Review
  16. A magnetic affinity approach to identify plant GABA-binding proteins.Turkish journal of biology = Turk biyoloji dergisi · 2019
    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

1 author.

Serhat Sezai ÇiçekDepartment of Pharmaceutical Biology, Kiel University, Gutenbergstraße 76, 24118 Kiel, Germany. scicek@pharmazie.uni-kiel.de.ORCID 0000-0002-3038-8523

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GABA(A) receptors are ligand-gated ion channels consisting of five subunits from eight subfamilies, each assembled in four hydrophobic transmembrane domains. This pentameric structure not only allows different receptor binding sites, but also various types of ligands, such as orthosteric agonists and antagonists, positive and negative allosteric modulators, as well as second-order modulators and non-competitive channel blockers. A fact, that is also displayed by the variety of chemical structures found for both, synthetic as well as nature-derived GABA(A)-receptor modulators. This review covers the literature for natural GABA(A)-receptor modulators until the end of 2017 and discusses their structure-activity relationship.

Indexed as

Allosteric RegulationAllosteric SiteAnimalsAnti-Anxiety AgentsAnticonvulsantsCatalytic DomainGABA AntagonistsGABA-A Receptor AgonistsHumansKineticsLigandsProtein DomainsProtein MultimerizationProtein SubunitsReceptors, GABA-AStructure-Activity RelationshipAnti-Anxiety AgentsAnticonvulsantsGABA AntagonistsGABA-A Receptor AgonistsLigandsProtein SubunitsReceptors, GABA-Aanestheticanticonvulsantanxiolyticbenzodiazepine binding sitenatural productplant originsedativeγ-aminobutyric acid

Identifiers

PMID29932138
PMCPMC6100244

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.