Mutations in the human ether‑à‑go‑go‑related gene (hERG) are responsible for long‑QT syndrome (LQTS) type 2 (LQT2). In the present study, a heterozygous missense mutation (A561V) linked to LQT2, syncope and epilepsy was identified in the S5/pore region of the hERG protein. The mutation, A561V, was prepared and subcloned into hERG‑pcDNA3.0. Mutant plasmids were co‑transfected into HEK‑293 cells, which stably express wild‑type (WT) hERG, in order to mimic a heterozygous genotype, and the whole‑cell current was recorded using a patch‑clamp technique. Confocal microscopy was performed to evaluate the membrane distribution of the hERG channel protein using a green fluorescent protein tagged to the N‑terminus of hERG. A561V‑hERG decreased the amplitude of the WT‑hERG currents in a concentration‑dependent manner. In addition, A561V‑hERG resulted in alterations to activation, inactivation and recovery from inactivation in the hERG protein channels. Further evaluation of hERG membrane localization indicated that the A561V‑hERG mutant protein was unable to travel to the plasma membrane, which resulted in a trafficking‑deficient WT‑hERG protein. In conclusion, A561V‑hERG exerts a potent dominant‑negative effect on WT‑hERG channels, resulting in decreased hERG currents and impairment of hERG membrane localization. This may partially elucidate the clinical manifestations of LQTS patients who carry the A561V mutation.
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http://dx.doi.org/10.3892/mmr.2016.4859 | DOI Listing |
J Med Chem
December 2024
Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing 211198, China.
Through catalyzing the transfer of methyl groups onto the guanidinium of arginine, protein arginine methyltransferase 5 (PRMT5) was essential to the cell growth of cancer cells. By utilizing a scaffold hopping strategy, a novel series of 3,4-dihydroisoquinolin-1()-one derivatives were designed and synthesized. Through a systematic SAR study, demonstrated excellent PRMT5 inhibitory activity, potent antiproliferative activity against Z-138, favorable pharmacokinetic profiles, and low hERG toxicity.
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Faculty of Computer and AI, Cairo University, Egypt. Electronic address:
Prediction of drug toxicity remains a significant challenge and an essential process in drug discovery. Traditional machine learning algorithms struggle to capture the full scope of molecular structure features, limiting their effectiveness in toxicity prediction. Graph Neural Network offers a promising solution by effectively extracting drug features from their molecular graphs.
View Article and Find Full Text PDFJ Med Chem
December 2024
Key Laboratory of Structure-Based Drug Design and Discovery, Ministry of Education, Shenyang Pharmaceutical University, Shenyang 110016, China.
Pulmonary fibrosis (PF) is a progressive, fatal lung disease lacking effective treatments. Autotaxin (ATX) plays a crucial role in exacerbating inflammation and fibrosis, making it a promising target for fibrosis therapies. Herein, starting from PAT-409 (Cudetaxestat), a series of novel ATX inhibitors bearing 1-indole-3-carboxamide, 4,5,6,7-tetrahydro-7-pyrazolo[3,4-]pyridin-7-one, or 4,5,6,7-tetrahydro-1-pyrazolo[4,3-]pyridine cores were designed based on the structure of ATX hydrophobic tunnel.
View Article and Find Full Text PDFJ Cheminform
December 2024
Insilico Medicine Shanghai Ltd, Suite 901, Tower C, Changtai Plaza, 2889 Jinke Road, Pudong New District, Shanghai, 201203, China.
Cardiotoxicity, particularly drug-induced arrhythmias, poses a significant challenge in drug development, highlighting the importance of early-stage prediction of human ether-a-go-go-related gene (hERG) toxicity. hERG encodes the pore-forming subunit of the cardiac potassium channel. Traditional methods are both costly and time-intensive, necessitating the development of computational approaches.
View Article and Find Full Text PDFComput Methods Programs Biomed
December 2024
Centro de Investigación e Innovación en Bioingeniería (Ci2B), Universitat Politècnica de València, Valencia, Spain. Electronic address:
Background And Objective: In silico human models are being used more and more to predict the potential proarrhythmic risk of compounds. It has been shown that incorporation of the dynamics of drug-hERG channel interactions can have an important impact on the action potential duration (APD) at normal heart rates. Our aim is to investigate the relevance of drug dynamics on other important biomarkers of proarrhythmic risk.
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