European Journal of Medicinal ChemistryPharmacology & ToxicologyPeer-reviewed journal article
Large-Scale Structure-Based Virtual Screening Identifies Diverse KNa1.1 (KCNT1) Potassium Channel Inhibitors
Emily A. CaseleyiD, Katie J. SimmonsiD, Bethan A. ColeiD, Alex J. FlynniD, Stephen P. MuenchiD, Jonathan D. LippiatiD
Abstract
Severe drug-resistant childhood epilepsy is caused by KCNT1 gain-of-function genetic variants, resulting in increased KNa1.1 channel activity. KCNT1-associated epilepsy is thought to affect around 1 in 300,000 births worldwide. Current treatment for KCNT1 epilepsy only provides mild symptomatic relief and uses a cocktail of experimental medications which must be personalised for the individual and are often poorly tolerated. Critically, with many patients, no therapeutic benefit is achieved. We sought to address this by using large-scale virtual screening to accelerate the development of a molecule which binds directly to KCNT1 to supress overactivity. We purchased a total of 71 compounds and using a combination of fluorescent thallium flux assays and patch clamp electrophysiology, identified a series of eight structurally diverse, novel inhibitors of the KNa1.1 channel with potency in the low micromolar range. These provide potential starting points for further development of drugs to treat KCNT1-associated epilepsy. HighlightsO_LIWe have discovered a range of structurally distinct inhibitors of the KCNT1 ion channel using large-scale virtual screening C_LIO_LIThese compound exhibit selectivity for the KCNT1 channel over other related ion channels C_LIO_LIThese compounds could provide starting points for new treatments for KCNT1 related Epilepsy. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=75 SRC="FIGDIR/small/679465v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@481813org.highwire.dtl.DTLVardef@12494dforg.highwire.dtl.DTLVardef@a9f787org.highwire.dtl.DTLVardef@b9f4b9_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: proteomics
- research focus: drug response / drug discovery
- approach: deep learning
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 21th percentile
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Structure-based identification and characterisation of novel inhibitors of KNa1.1 potassium channels, a stratified target for KCNT1-related epilepsy.
B. A. Cole, R. M. Johnson, … J. D. Lippiat·bioRxiv·Sep 26, 2019
- Identification of new KCNT1-epilepsy drugs by in silico, cell and Drosophila modelling.
Michael G. Ricos, Bethan A. Cole, … Jonathan D. Lippiat·bioRxiv·May 22, 2025
- Coupling of Slack and NaV1.6 sensitizes Slack to quinidine blockade and guides anti-seizure strategy development
Yuan Tian, Yifan Wang, … Zhuo Huang·eLifePeer-reviewed·May 31, 2023
- Epilepsy-causing KCNT1 variants increase KNa1.1 channel activity by disrupting the activation gate.
Bethan A. Cole, Nadia Pilati, Jonathan D. Lippiat·bioRxiv·Sep 16, 2021
- Gene therapy for targeting a prenatally enriched potassium channel associated with severe childhood epilepsy and premature death
Sean R Golinski, Karla Soriano, … Richard S. Smith·bioRxiv·Oct 24, 2024
- Novel Compensatory Mechanisms Enable the Mutant KCNT1 Channels to Induce Seizures
Salleh N. Ehaideb, Gentry T. Decker, … Bing Zhang·bioRxiv·Oct 2, 2017