Showing 1 - 13 results of 13 for search '"Hergé"', query time: 0.06s 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

    Rapid characterisation of hERG channel kinetics I: using an automated high-throughput system by Lei, CL, Clerx, M, Gavaghan, D, Polonchuk, L, Mirams, GR, Wang, K

    Published 2019
    “…We demonstrate its use on the Nanion SyncroPatch 384PE, a 384-well automated patch-clamp platform, by applying it to Chinese hamster ovary cells stably expressing hERG1a. From these recordings, we construct 124 cell-specific variants/parameterizations of a hERG model at 25°C. …”
    Journal article
  3. 3

    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
  4. 4

    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
  5. 5

    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
  6. 6

    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
  7. 7

    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
  8. 8

    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
  9. 9

    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
  10. 10

    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
  11. 11

    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
  12. 12

    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
  13. 13

    Statistical tools and community resources for developing trusted models in biology and chemistry by Daly, A

    Published 2017
    “…We demonstrate the Modeling Web Lab’s utility across multiple mod- eling domains by re-creating the results of a contemporary modeling study of the hERG ion channel model, as well as the results of an original study of electrochemical redox reactions.…”
    Thesis