Results 21 to 30 of about 33,807 (258)
Capsule Networks Showed Excellent Performance in the Classification of hERG Blockers/Nonblockers
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
PIKfyve Sensitivity of hERG Channels [PDF]
Human ether-a-go-go (hERG) channels contribute to cardiac repolarization and participate in the regulation of tumor cell proliferation. Mutations in hERG channels may cause long QT syndrome and sudden cardiac death due to ventricular arrhythmias. HERG channel activity is up-regulated by the serum- and glucocorticoid-inducible kinase isoforms SGK1 and ...
Tatsiana Pakladok+4 more
openaire +4 more sources
Comprehensive translational assessment of human-induced pluripotent stem cell derived cardiomyocytes for evaluating drug-induced arrhythmias [PDF]
Induced pluripotent stem cell-derived cardiomyocytes (iPSC-CM) hold promise for assessment of drug-induced arrhythmias and are being considered for use under the comprehensive in vitro proarrhythmia assay (CiPA).
Blinova, Ksenia+17 more
core +1 more source
The role of Eag and HERG channels in cell proliferation and apoptotic cell death in SK-OV-3 ovarian cancer cell line. [PDF]
The voltage gated potassium (K+) channels Eag and HERG have been implicated in the pathogenesis of various cancers, through association with cell cycle changes and programmed cell death.
Anish Bali+6 more
core +5 more sources
The electric heart of hERG [PDF]
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 +3 more sources
The rise of novel artificial intelligence (AI) methods necessitates their benchmarking against classical machine learning for a typical drug-discovery project.
Vishal B. Siramshetty+5 more
semanticscholar +1 more source
Lead optimisation of dehydroemetine for repositioned use in malaria [PDF]
Drug repositioning offers an effective alternative to de novo drug design to tackle the urgent need for novel anti-malarial treatments. The anti-amoebic compound, emetine dihydrochloride, has been identified as a potent in-vitro inhibitor of the multi ...
Abubaker, M+8 more
core +3 more sources
Klotho sensitivity of the hERG channel [PDF]
Klotho, a hormone and enzyme, is a powerful regulator of ageing and life span. Klotho deficiency leads to cardiac arrythmia and sudden cardiac death. We thus explored whether klotho modifies cardiac K+‐channel hERG. Current was determined utilizing dual electrode voltage clamp and hERG protein abundance utilizing immunohistochemistry and ...
Jakob Voelkl+8 more
openaire +3 more sources
The triggering probability of radio-loud AGN: A comparison of high and low excitation radio galaxies in hosts of different colors [PDF]
Low luminosity radio-loud active galactic nuclei (AGN) are generally found in massive red elliptical galaxies, where they are thought to be powered through gas accretion from their surrounding hot halos in a radiatively inefficient manner.
Abazajian+30 more
core +3 more sources