Evidence map›Paper›PMID 32079674›Full record

ArticleThe Journal of biological chemistry2020

A computational approach yields selective inhibitors of human excitatory amino acid transporter 2 (EAAT2).

Kelly L Damm-Ganamet, Marie-Laure Rives, Alan D Wickenden, Heather M McAllister, Taraneh Mirzadegan

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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 2 institutions in 2 countries.

Kelly L Damm-GanametDiscovery Sciences, Janssen Research and Development, San Diego, California 92121. Electronic address: kganamet@its.jnj.com.
Marie-Laure RivesDiscovery Sciences, Janssen Research and Development, San Diego, California 92121.
Alan D WickendenDiscovery Sciences, Janssen Research and Development, San Diego, California 92121.
Heather M McAllisterDiscovery Sciences, Janssen Research and Development, San Diego, California 92121.
Taraneh MirzadeganDiscovery Sciences, Janssen Research and Development, San Diego, California 92121.
Janssen (United States) · USJanssen (Belgium) · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excitatory amino acid transporters (EAATs) represent a protein family that is an emerging drug target with great therapeutic potential for managing central nervous system disorders characterized by dysregulation of glutamatergic neurotransmission. As such, it is of significant interest to discover selective modulators of EAAT2 function. Here, we applied computational methods to identify specific EAAT2 inhibitors. Utilizing a homology model of human EAAT2, we identified a binding pocket at the interface of the transport and trimerization domain. We next conducted a high-throughput virtual screen against this site and identified a selective class of EAAT2 inhibitors that were tested in glutamate uptake and whole-cell electrophysiology assays. These compounds represent potentially useful pharmacological tools suitable for further exploration of the therapeutic potential of EAAT2 and may provide molecular insights into mechanisms of allosteric modulation for glutamate transporters.

Indexed as

Amino Acid Transport System X-AGAnimalsBinding SitesBiological TransportCentral Nervous System DiseasesComputational BiologyExcitatory Amino Acid Transporter 2HumansProtein BindingSynaptic TransmissionUser-Computer InterfaceAmino Acid Transport System X-AGExcitatory Amino Acid Transporter 2SLC1A2 protein, humanallosteric regulationdrug discoveryexcitatory amino acid transportersglutamateglutamate transporterhigh throughput virtual screeninghomology modelingneurological diseaseneurotransmitterSLC1A

Identifiers

PMID32079674
PMCPMC7105306
OpenAlexW3008209570

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.