Evidence map›Paper›PMID 23856051›Full record

ArticleBioorganic & medicinal chemistry letters2013

Are hERG channel blockers also phospholipidosis inducers?

Hongmao Sun, Menghang Xia, Sampada A Shahane, Ajit Jadhav, Christopher P Austin, Ruili Huang

Abstract read
In one paragraph

Article in Bioorganic & medicinal chemistry letters, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Use of 3D Human Liver Organoids to Predict Drug-Induced Phospholipidosis.International journal of molecular sciences · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. 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.

Hongmao SunNational Center for Advancing Translational Sciences, National Institutes of Health (NIH), 9800 Medical Center Drive, Bethesda, Rockville, MD 20892, USA. sunh7@mail.nih.gov
Menghang Xia
Sampada A Shahane
Ajit Jadhav
Christopher P Austin
Ruili Huang

Funding

NIH Chemical Genomics CenterZIBTR000004 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI MCKEW, JOHN · 2012 to 2014
$52.3M
NIEHS NIH HHS Y02 ES007020
6 · The paper itself

Abstract

Both pharmacophore models of the human ether-à-go-go-related gene (hERG) channel blockers and phospholipidosis (PLD) inducers contain a hydrophobic moiety and a hydrophilic motif/positively charged center, so it is interesting to investigate the overlap between the ligand chemical spaces of both targets. We have assayed over 4000 non-redundant drug-like compounds for both their hERG inhibitory activity and PLD inducing potential in a quantitative high throughput screening (qHTS) format. Seventy-seven percent of PLD inducing compounds identified from the screening were also found to be hERG channel blockers, and 96.9% of the dually active compounds were positively charged. Among the 48 compounds that induced PLD without inhibiting hERG channel, 24 compounds (50.0%) carried steroidal structures. According to our results, hERG channel blockers and PLD inducers share a large chemical space. In addition, a positively charged hERG channel blocker will most likely induce PLD, while a steroid PLD inducer is less likely a hERG channel blocker.

Indexed as

Antipsychotic AgentsEther-A-Go-Go Potassium ChannelsHumansHydrophobic and Hydrophilic InteractionsLipidosesMolecular StructurePhospholipidsPromazineQuantitative Structure-Activity RelationshipSteroidsAntipsychotic AgentsEther-A-Go-Go Potassium ChannelsPhospholipidsPromazineSteroidshERGPhospholipidosisqHTS

Identifiers

PMID23856051
PMCPMC3736554

What OpenQuestion holds

Textmetadata
LicenceTDM
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.