Results 51 to 60 of about 36,434 (294)

In Vitro and In Silico Risk Assessment in Acquired Long QT Syndrome: The Devil Is in the Details

open access: yesFrontiers in Physiology, 2017
Acquired long QT syndrome, mostly as a result of drug block of the Kv11. 1 potassium channel in the heart, is characterized by delayed cardiac myocyte repolarization, prolongation of the T interval on the ECG, syncope and sudden cardiac death due to the ...
William Lee   +7 more
doaj   +1 more source

hERG Blockade Prediction by Combining Site Identification by Ligand Competitive Saturation and Physicochemical Properties

open access: yesChemistry, 2022
The human ether-a-go-go-related gene (hERG) potassium channel is a well-known contributor to drug-induced cardiotoxicity and therefore is an extremely important target when performing safety assessments of drug candidates.
Himanshu Goel   +2 more
doaj   +1 more source

The electric heart of hERG [PDF]

open access: yesJournal of General Physiology, 2013
Potassium channels encoded by the human ether-a-go-go–related gene (hERG) are of crucial importance for the repolarization of the cardiac action potential, as they constitute the main component of the cardiac delayed rectifier current, IKr ([Sanguinetti et al., 1995][1]).
openaire   +2 more sources

Characterization of the novel mutant A78T-HERG from a long QT syndrome type 2 patient: Instability of the mutant protein and stabilization by heat shock factor 1

open access: yesJournal of Arrhythmia, 2016
Background: The human ether-a-go-go-related gene (HERG) encodes the α-subunit of rapidly activating delayed-rectifier potassium channels. Mutations in this gene cause long QT syndrome type 2 (LQT2).
Takehito Kondo   +21 more
doaj   +1 more source

Gain of function mutants: Ion channels and G protein-coupled receptors [PDF]

open access: yes, 2000
Many ion channels and receptors display striking phenotypes for gain-of-function mutations but milder phenotypes for null mutations. Gain of molecular function can have several mechanistic bases: selectivity changes, gating changes including constitutive
Karschin, Andreas, Lester, Henry A.
core   +1 more source

NBD-Based Environment-Sensitive Fluorescent Probes for the Human Ether-a-Go-Go–Related Gene Potassium Channel

open access: yesFrontiers in Molecular Biosciences, 2021
Three environment-sensitive probes were developed for the hERG channel based on the nitrobenzoxadiazole fluorophore herein. After careful evaluation, probes M1 and M3 were found to have a high affinity for imaging the hERG channel in the cell-based ...
Qi Li   +4 more
doaj   +1 more source

Structure-activity relationships of fluorene compounds inhibiting HCV variants [PDF]

open access: yes, 2020
Approximately 71 million people suffer from hepatitis C virus (HCV) infection worldwide. Persistent HCV infection causes liver diseases such as chronic hepatitis, liver cirrhosis, and hepatocellular carcinoma, resulting in approximately 400,000 deaths ...
Gadhe, Changdev G.   +10 more
core   +1 more source

Molecular mechanisms underlying the pilsicainide-induced stabilization of hERG proteins in transfected mammalian cells

open access: yesJournal of Arrhythmia, 2017
Background: Pilsicainide, classified as a relatively selective Na+ channel blocker, also has an inhibitory action on the rapidly-activating delayed-rectifier K+ current (IKr) through human ether-a-go-go-related gene (hERG) channels.
Takeshi Onohara, MD   +17 more
doaj   +1 more source

Structural modeling of hERG channel–drug interactions using Rosetta

open access: yesFrontiers in Pharmacology, 2023
The human ether-a-go-go-related gene (hERG) not only encodes a potassium-selective voltage-gated ion channel essential for normal electrical activity in the heart but is also a major drug anti-target.
Aiyana M. Emigh Cortez   +17 more
doaj   +1 more source

Capsule Networks Showed Excellent Performance in the Classification of hERG Blockers/Nonblockers

open access: yesFrontiers in Pharmacology, 2020
Capsule networks (CapsNets), a new class of deep neural network architectures proposed recently by Hinton et al., have shown a great performance in many fields, particularly in image recognition and natural language processing. However, CapsNets have not
Yiwei Wang   +6 more
semanticscholar   +1 more source

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