Showing 1 - 16 results of 16 for search '"Hergé"', query time: 0.07s Refine Results
  1. 1

    Mathematical modelling of hERG channel kinetics using sinusoidal voltage protocols by Beattie, K, Bardenet, R, Louttit, J, Vandenberg, J, Hill, A, Gavaghan, D, De Boer, T, Mirams, G

    Published 2017
    “…Drug block of the hERG channel is a primary focus of existing cardiac proarrhythmic safety assessment strategies. hERG plays a fundamental role in repolarization of the cardiac action potential and block of this channel can lead to prolongation of, and morphological changes to, the cardiac action potential, which are implicated in increasing proarrhythmic risk. …”
    Conference item
  2. 2

    Application of Human Stem Cell−derived Cardiomyocytes in Safety Pharmacology Requires Caution Beyond hERG by Jonsson, M, Vos, M, Mirams, G, Duker, G, Sartipy, P, de Boer, T, van Veen, T

    Published 2012
    “…The only compound that triggered EADs was hERG blocker Cisapride. Computer simulations and APclamp showed that the immature AP of hESC-CM prevents proper functioning of INa-channels, and result in lower peak/maximal currents of several other channels, compared to the adult situation. …”
    Journal article
  3. 3

    Application of human stem cell-derived cardiomyocytes in safety pharmacology requires caution beyond hERG by Jonsson, M, Vos, M, Mirams, G, Duker, G, Sartipy, P, De Boer, T, Van Veen, T

    Published 2012
    “…The only compound that triggered EADs was hERG blocker Cisapride. Computer simulations and AP clamp showed that the immature AP of hESC-CM prevents proper functioning of I Na-channels, and result in lower peak/maximal currents of several other channels, compared to the adult situation. …”
    Journal article
  4. 4

    Application of human stem cell-derived cardiomyocytes in safety pharmacology requires caution beyond hERG. by Jonsson, M, Vos, M, Mirams, G, Duker, G, Sartipy, P, de Boer, T, van Veen, T

    Published 2012
    “…The only compound that triggered EADs was hERG blocker Cisapride. Computer simulations and AP clamp showed that the immature AP of hESC-CM prevents proper functioning of I(Na)-channels, and result in lower peak/maximal currents of several other channels, compared to the adult situation. …”
    Journal article
  5. 5

    Simulation of multiple ion channel block provides improved early prediction of compounds' clinical torsadogenic risk by Mirams, G, Cui, Y, Sher, A, Fink, M, Cooper, J, Heath, B, McMahon, N, Gavaghan, D, Noble, D

    Published 2011
    “…While avoiding the use of drugs with maximum therapeutic concentrations within 30-fold of their hERG inhibitory concentration 50% (IC50) values has been suggested, there are drugs that are exceptions to this rule: hERG inhibitors that do not cause TdP, and drugs that can cause TdP but are not strong hERG inhibitors. …”
    Journal article
  6. 6

    Simulation of multiple ion channel block provides improved early prediction of compounds' clinical torsadogenic risk. by Mirams, G, Cui, Y, Sher, A, Fink, M, Cooper, J, Heath, B, McMahon, N, Gavaghan, D, Noble, D

    Published 2011
    “…While avoiding the use of drugs with maximum therapeutic concentrations within 30-fold of their hERG inhibitory concentration 50% (IC(50)) values has been suggested, there are drugs that are exceptions to this rule: hERG inhibitors that do not cause TdP, and drugs that can cause TdP but are not strong hERG inhibitors. …”
    Journal article
  7. 7

    Early afterdepolarisation tendency as a simulated pro-arrhythmic risk indicator by McMillan, B, Gavaghan, D, Mirams, G

    Published 2017
    “…Drugs which cause TdP block the hERG cardiac potassium channel. However, not all drugs that block hERG cause TdP. …”
    Journal article
  8. 8

    Mathematical modelling of drug-ion channel interactions for cardiac safety assessment by Beattie, K

    Published 2015
    “…</p> <p>We demonstrate how existing mathematical models of hERG channel kinetics can behave very differently when used to simulate the same voltage protocol. …”
    Thesis
  9. 9

    Computational assessment of drug−induced effects on the electrocardiogram: from ion channel block to body surface potentials by Zemzemi, N, Bernabeu, M, Saiz, J, Cooper, J, Pathmanathan, P, Mirams, G, Pitt−Francis, J, Rodriguez, B

    Published 2013
    “…<strong>Key results</strong> Introducing a 50% hERG block results in 7.8% prolongation of the APD90 and 5.7% QT interval prolongation, whereas the hERG block does not affect the QRS interval. …”
    Journal article
  10. 10

    Prediction of Thorough QT study results using action potential simulations based on ion channel screens by Mirams, G, Davies, M, Brough, S, Bridgland−Taylor, M, Cui, Y, Gavaghan, D, Abi−Gerges, N

    Published 2014
    “…Methods: Ion current reduction was measured, in the presence of marketed drugs which have had a TQT study, for channels encoded by hERG, CaV1.2, NaV1.5, KCNQ1/MinK, and Kv4.3/KChIP2.2. …”
    Journal article
  11. 11

    Reproducible model development in the cardiac electrophysiology Web Lab by Daly, A, Clerx, M, Beattie, K, Cooper, J, Gavaghan, D, Mirams, G

    Published 2018
    “…We outline the necessary work to develop a machine-readable language to describe the process of inferring parameters from wet lab datasets, and illustrate our approach through a detailed example of fitting a model of the hERG channel using experimental data. We conclude by discussing the future challenges in making further progress in this domain towards our goal of facilitating a fully reproducible approach to the development of cardiac cell models.…”
    Journal article
  12. 12

    Four ways to fit an ion channel model by Clerx, M, Beattie, K, Gavaghan, D, Mirams, G

    Published 2019
    “…We compare these methods using a set of experiments in which hERG1a current was measured in nine Chinese Hamster Ovary (CHO) cells. …”
    Journal article
  13. 13

    Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment by Elkins, R, Davies, MR, Brough, S, Gavaghan, D, Cui, Y, Abi-Gerges, N, Mirams, G

    Published 2013
    “…Methods: We quantified the variability associated with concentration-effect curves fitted to recordings from high-throughput Molecular Devices IonWorks® Quattro™ screens when detecting block of IKr (hERG), INa (NaV1.5), ICaL (CaV1.2), IKs (KCNQ1/minK) and Ito (Kv4.3/KChIP2.2), and the Molecular Devices FLIPR® Tetra fluorescence screen for ICaL (CaV1.2), for control compounds used at AstraZeneca and GlaxoSmithKline. …”
    Journal article
  14. 14

    Variability in high−throughput ion channel screening data and consequences for cardiac safety assessment by Elkins, R, Davies, M, Brough, S, Gavaghan, D, Cui, Y, Abi−Gerges, N, Mirams, G

    Published 2013
    “…Methods: we quantified the variability associat11 ed with concentration-effect curves fitted to recordings from high-throughput Molecular Devices IonWorks® Quattro— screens when detecting block of IKr (hERG), INa (NaV1.5), ICaL (CaV1.2), IKs (KCNQ1/minK) and Ito Kv4.3/KChIP2.2), and the Molecular Devices FLIPR® Tetra fluorescence screen for ICaL (CaV1.2), for control compounds used at AstraZeneca and GlaxoSmithKline. …”
    Journal article
  15. 15

    Evaluation of an in silico cardiac safety assay: Using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge by Beattie, K, Luscombe, C, Williams, G, Munoz-Muriedas, J, Gavaghan, D, Cui, Y, Mirams, G

    Published 2013
    “…Methods: Concentration-effect data were acquired from either: the high-throughput IonWorks/FLIPR; the medium-throughput PatchXpress ion channel assays; or QSAR, a statistical IC50 value prediction model, for hERG, fast sodium, L-type calcium and KCNQ1/minK channels. …”
    Journal article
  16. 16

    Evaluation of an In Silico Cardiac Safety Assay: Using Ion Channel Screening Data to Predict QT Interval Changes in the Rabbit Ventricular Wedge by Beattie, K, Luscombe, C, Williams, G, Munoz−Muriedas, J, Gavaghan, D, Cui, Y, Mirams, G

    Published 2013
    “…<h3>Methods</h3> Concentration-effect data were acquired from either: the high-throughput IonWorks/FLIPR; the medium-throughput PatchXpress ion channel assays; or QSAR, a statistical IC50 value prediction model, for hERG, fast sodium, L-type calcium and KCNQ1/minK channels. …”
    Journal article