Evidence map›Paper›PMID 31332533›Full record

ArticlePharmaceutical research2019

Repurposing Approved Drugs as Inhibitors of K

Sean Ekins, Jacob Gerlach, Kimberley M Zorn, Brett M Antonio, Zhixin Lin, Aaron Gerlach

Open access · greenAbstract read
In one paragraph

Article in Pharmaceutical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. A neurocutaneous NaScience advances · 2026
    Article
  3. Review
  4. AΙ-Driven Drug Repurposing: Applications and Challenges.Medicines (Basel, Switzerland) · 2025
    Review
  5. Applications of artificial intelligence in drug discovery for neurological diseases.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Mycobacterium abscessus drug discovery using machine learning.Tuberculosis (Edinburgh, Scotland) · 2022
    Article
  15. Article
  16. Recent advances in drug repurposing using machine learning.Current opinion in chemical biology · 2021
    Review
  17. Machine Learning Models Identify Inhibitors of SARS-CoV-2.Journal of chemical information and modeling · 2021
    Article
  18. Article
  19. Article
  20. Review
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 at 1 institution in 1 country.

Sean EkinsCollaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina, 27606, USA. sean@collaborationspharma.com.ORCID http://orcid.org/0000-0002-5691-5790
Jacob GerlachCollaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina, 27606, USA.
Kimberley M ZornCollaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina, 27606, USA.
Brett M AntonioIcagen, Inc., 4222 Emperor Blvd, Durham, North Carolina, 27703, USA.
Zhixin LinIcagen, Inc., 4222 Emperor Blvd, Durham, North Carolina, 27703, USA.
Aaron GerlachIcagen, Inc., 4222 Emperor Blvd, Durham, North Carolina, 27703, USA.
Collaborations Pharmaceuticals (United States) · US

Funding

Centralized assay datasets for modelling support of small drug discovery organizationsR44GM122196 · NIGMS · COLLABORATIONS PHARMACEUTICALS, INC. · PI EKINS, SEAN · 2018 to 2022
$3.3M
Centralized assay datasets for modelling support of small drug discovery organizationsR43GM122196 · NIGMS · COLLABORATIONS PHARMACEUTICALS, INC. · PI EKINS, SEAN · 2017 to 2017
$150k
National Institute of General Medical Sciences R43GM122196National Institute of General Medical Sciences R44GM122196-02A1NIGMS NIH HHS R43 GM122196NIGMS NIH HHS R44 GM122196Pitt Hopkins Research Foundation N/A
6 · The paper itself

Abstract

purposePitt Hopkins Syndrome (PTHS) is a rare genetic disorder caused by mutations of a specific gene, transcription factor 4 (TCF4), located on chromosome 18. PTHS results in individuals that have moderate to severe intellectual disability, with most exhibiting psychomotor delay. PTHS also exhibits features of autistic spectrum disorders, which are characterized by the impaired ability to communicate and socialize. PTHS is comorbid with a higher prevalence of epileptic seizures which can be present from birth or which commonly develop in childhood. Attenuated or absent TCF4 expression results in increased translation of peripheral ion channels K

methodsWe now describe a high throughput screen (HTS) of 1280 approved drugs and machine learning models developed from this data. The ion channels were expressed in either CHO (K

resultsThe HTS delivered 55 inhibitors of K

conclusionsThis work could lead to the potential repurposing of nicardipine or other dihydropyridine calcium channel antagonists as potential treatments for PTHS acting via Na

Indexed as

AnimalsBayes TheoremCHO CellsCricetulusDihydropyridinesDrug RepositioningFaciesHEK293 CellsHumansHyperventilationIntellectual DisabilityKCNQ1 Potassium ChannelMachine LearningNAV1.8 Voltage-Gated Sodium ChannelPotassium Channel BlockersSmall Molecule LibrariesDihydropyridinesKCNQ1 Potassium ChannelNAV1.8 Voltage-Gated Sodium ChannelPotassium Channel BlockersSmall Molecule LibrariesSodium Channel BlockersVoltage-Gated Sodium Channel Blockershigh throughput screenKv7.1Nav1.8Pitt Hopkins syndromerepurposing

Identifiers

PMID31332533
PMCPMC6814258
OpenAlexW2963515495

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.