Associated Papers
Predicting the Damaging Potential of Uncharacterized KCNQ1 and KCNE1 Variants.
Tarnovskaya SI et al.
International Journal of Molecular Sciences, 2025
40724807 (PubMed )
Supplement: ijms-26-06561-s001.zip › ijms-3705358_SupplementaryTable2.xls › SupplementaryTable2
Structures Illuminate Cardiac Ion Channel Functions in Health and in Long QT Syndrome.
Brewer KR et al.
Frontiers in Pharmacology, 2020
Effects of protein-protein interactions and ligand binding on the ion permeation in KCNQ1 potassium channel.
Jalily Hasani H et al.
Plos One, 2018
29444113 (PubMed )
Supplement: pone.0191905.s001.pdf
Influence of Pathogenic Mutations on the Energetics of Translocon-Mediated Bilayer Integration of Transmembrane Helices.
Schlebach JP et al.
The Journal of Membrane Biology, 2015
Assessment of the predictive accuracy of five in silico prediction tools, alone or in combination, and two metaservers to classify long QT syndrome gene mutations.
Leong IU et al.
Bmc Medical Genetics, 2015
25967940 (PubMed )
Supplement: 12881_2015_176_MOESM1_ESM.xlsx › EVERYTHING
Bayesian models for syndrome- and gene-specific probabilities of novel variant pathogenicity.
Ruklisa D et al.
Genome Medicine, 2015
25649125 (PubMed )
Supplement: 13073_2014_120_MOESM1_ESM.pdf
Long QT syndrome-associated mutations in the voltage sensor of I(Ks) channels.
Henrion U et al.
Cellular Physiology and Biochemistry : International Journal of Experimental Cellular Physiology, Biochemistry, and Pharmacology, 2009
Structural models for the KCNQ1 voltage-gated potassium channel.
Smith JA et al.
Biochemistry, 2007
Genetic testing in the long QT syndrome: development and validation of an efficient approach to genotyping in clinical practice.
Napolitano C et al.
Jama, 2005
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