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Items: 1 to 50 of 51

1.

Four Ways to Fit an Ion Channel Model.

Clerx M, Beattie KA, Gavaghan DJ, Mirams GR.

Biophys J. 2019 Aug 6. pii: S0006-3495(19)30666-6. doi: 10.1016/j.bpj.2019.08.001. [Epub ahead of print]

2.

Rapid Characterization of hERG Channel Kinetics II: Temperature Dependence.

Lei CL, Clerx M, Beattie KA, Melgari D, Hancox JC, Gavaghan DJ, Polonchuk L, Wang K, Mirams GR.

Biophys J. 2019 Jul 25. pii: S0006-3495(19)30598-3. doi: 10.1016/j.bpj.2019.07.030. [Epub ahead of print]

3.

Rapid Characterization of hERG Channel Kinetics I: Using an Automated High-Throughput System.

Lei CL, Clerx M, Gavaghan DJ, Polonchuk L, Mirams GR, Wang K.

Biophys J. 2019 Jul 25. pii: S0006-3495(19)30597-1. doi: 10.1016/j.bpj.2019.07.029. [Epub ahead of print]

4.

Selective recruitment of different Ca2+-dependent transcription factors by STIM1-Orai1 channel clusters.

Lin YP, Bakowski D, Mirams GR, Parekh AB.

Nat Commun. 2019 Jun 7;10(1):2516. doi: 10.1038/s41467-019-10329-3.

5.

Defining vitamin D status using multi-metabolite mathematical modelling: A pregnancy perspective.

Beentjes CHL, Taylor-King JP, Bayani A, Davis CN, Dunster JL, Jabbari S, Mirams GR, Jenkinson C, Kilby MD, Hewison M, Tamblyn JA.

J Steroid Biochem Mol Biol. 2019 Jun;190:152-160. doi: 10.1016/j.jsbmb.2019.03.024. Epub 2019 Mar 26.

6.

Response to "CiPA's Complexity Bias".

Li Z, Mirams GR, Strauss DG.

Clin Pharmacol Ther. 2019 Jun;105(6):1325. doi: 10.1002/cpt.1399. Epub 2019 Mar 23. No abstract available.

PMID:
30903696
7.

Representation of Multiple Cellular Phenotypes Within Tissue-Level Simulations of Cardiac Electrophysiology.

Bowler LA, Gavaghan DJ, Mirams GR, Whiteley JP.

Bull Math Biol. 2019 Jan;81(1):7-38. doi: 10.1007/s11538-018-0516-1. Epub 2018 Oct 5.

8.

Assessment of an In Silico Mechanistic Model for Proarrhythmia Risk Prediction Under the CiPA Initiative.

Li Z, Ridder BJ, Han X, Wu WW, Sheng J, Tran PN, Wu M, Randolph A, Johnstone RH, Mirams GR, Kuryshev Y, Kramer J, Wu C, Crumb WJ Jr, Strauss DG.

Clin Pharmacol Ther. 2019 Feb;105(2):466-475. doi: 10.1002/cpt.1184. Epub 2018 Aug 27.

9.

Reproducible model development in the cardiac electrophysiology Web Lab.

Daly AC, Clerx M, Beattie KA, Cooper J, Gavaghan DJ, Mirams GR.

Prog Biophys Mol Biol. 2018 Nov;139:3-14. doi: 10.1016/j.pbiomolbio.2018.05.011. Epub 2018 May 26.

10.

Sinusoidal voltage protocols for rapid characterisation of ion channel kinetics.

Beattie KA, Hill AP, Bardenet R, Cui Y, Vandenberg JI, Gavaghan DJ, de Boer TP, Mirams GR.

J Physiol. 2018 May 15;596(10):1813-1828. doi: 10.1113/JP275733. Epub 2018 Apr 17.

11.

Early afterdepolarisation tendency as a simulated pro-arrhythmic risk indicator.

McMillan B, Gavaghan DJ, Mirams GR.

Toxicol Res (Camb). 2017 Nov 1;6(6):912-921. doi: 10.1039/c7tx00141j. Epub 2017 Sep 14.

12.

Sequential forward and reverse transport of the Na+ Ca2+ exchanger generates Ca2+ oscillations within mitochondria.

Samanta K, Mirams GR, Parekh AB.

Nat Commun. 2018 Jan 11;9(1):156. doi: 10.1038/s41467-017-02638-2.

13.

Tailoring Mathematical Models to Stem-Cell Derived Cardiomyocyte Lines Can Improve Predictions of Drug-Induced Changes to Their Electrophysiology.

Lei CL, Wang K, Clerx M, Johnstone RH, Hortigon-Vinagre MP, Zamora V, Allan A, Smith GL, Gavaghan DJ, Mirams GR, Polonchuk L.

Front Physiol. 2017 Dec 12;8:986. doi: 10.3389/fphys.2017.00986. eCollection 2017.

14.

Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment.

Chang KC, Dutta S, Mirams GR, Beattie KA, Sheng J, Tran PN, Wu M, Wu WW, Colatsky T, Strauss DG, Li Z.

Front Physiol. 2017 Nov 21;8:917. doi: 10.3389/fphys.2017.00917. eCollection 2017.

15.

Nonclinical cardiovascular safety of pitolisant: comparing International Conference on Harmonization S7B and Comprehensive in vitro Pro-arrhythmia Assay initiative studies.

Ligneau X, Shah RR, Berrebi-Bertrand I, Mirams GR, Robert P, Landais L, Maison-Blanche P, Faivre JF, Lecomte JM, Schwartz JC.

Br J Pharmacol. 2017 Dec;174(23):4449-4463. doi: 10.1111/bph.14047. Epub 2017 Oct 19.

16.

Systems Toxicology: Real World Applications and Opportunities.

Hartung T, FitzGerald RE, Jennings P, Mirams GR, Peitsch MC, Rostami-Hodjegan A, Shah I, Wilks MF, Sturla SJ.

Chem Res Toxicol. 2017 Apr 17;30(4):870-882. doi: 10.1021/acs.chemrestox.7b00003. Epub 2017 Mar 31.

17.

High resolution structural evidence suggests the Sarcoplasmic Reticulum forms microdomains with Acidic Stores (lysosomes) in the heart.

Aston D, Capel RA, Ford KL, Christian HC, Mirams GR, Rog-Zielinska EA, Kohl P, Galione A, Burton RA, Terrar DA.

Sci Rep. 2017 Jan 17;7:40620. doi: 10.1038/srep40620.

18.

Hierarchical Bayesian inference for ion channel screening dose-response data.

Johnstone RH, Bardenet R, Gavaghan DJ, Mirams GR.

Wellcome Open Res. 2016 Nov 15;1:6. doi: 10.12688/wellcomeopenres.9945.2. eCollection 2016.

19.

Control of NFAT Isoform Activation and NFAT-Dependent Gene Expression through Two Coincident and Spatially Segregated Intracellular Ca2+ Signals.

Kar P, Mirams GR, Christian HC, Parekh AB.

Mol Cell. 2016 Nov 17;64(4):746-759. doi: 10.1016/j.molcel.2016.11.011.

20.

Connexin43 contributes to electrotonic conduction across scar tissue in the intact heart.

Mahoney VM, Mezzano V, Mirams GR, Maass K, Li Z, Cerrone M, Vasquez C, Bapat A, Delmar M, Morley GE.

Sci Rep. 2016 May 31;6:26744. doi: 10.1038/srep26744.

21.

Computational cardiology and risk stratification for sudden cardiac death: one of the grand challenges for cardiology in the 21st century.

Hill AP, Perry MD, Abi-Gerges N, Couderc JP, Fermini B, Hancox JC, Knollmann BC, Mirams GR, Skinner J, Zareba W, Vandenberg JI.

J Physiol. 2016 Dec 1;594(23):6893-6908. doi: 10.1113/JP272015. Epub 2016 Jun 9.

22.

Uncertainty and variability in computational and mathematical models of cardiac physiology.

Mirams GR, Pathmanathan P, Gray RA, Challenor P, Clayton RH.

J Physiol. 2016 Dec 1;594(23):6833-6847. doi: 10.1113/JP271671. Epub 2016 Jun 9.

23.

Recent developments in using mechanistic cardiac modelling for drug safety evaluation.

Davies MR, Wang K, Mirams GR, Caruso A, Noble D, Walz A, Lavé T, Schuler F, Singer T, Polonchuk L.

Drug Discov Today. 2016 Jun;21(6):924-38. doi: 10.1016/j.drudis.2016.02.003. Epub 2016 Feb 15. Review.

24.

The Cardiac Electrophysiology Web Lab.

Cooper J, Scharm M, Mirams GR.

Biophys J. 2016 Jan 19;110(2):292-300. doi: 10.1016/j.bpj.2015.12.012.

25.

Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?

Johnstone RH, Chang ETY, Bardenet R, de Boer TP, Gavaghan DJ, Pathmanathan P, Clayton RH, Mirams GR.

J Mol Cell Cardiol. 2016 Jul;96:49-62. doi: 10.1016/j.yjmcc.2015.11.018. Epub 2015 Dec 2.

26.

Ca(2+) Channel Re-localization to Plasma-Membrane Microdomains Strengthens Activation of Ca(2+)-Dependent Nuclear Gene Expression.

Samanta K, Kar P, Mirams GR, Parekh AB.

Cell Rep. 2015 Jul 14;12(2):203-16. doi: 10.1016/j.celrep.2015.06.018. Epub 2015 Jul 2.

27.

Hydroxychloroquine reduces heart rate by modulating the hyperpolarization-activated current If: Novel electrophysiological insights and therapeutic potential.

Capel RA, Herring N, Kalla M, Yavari A, Mirams GR, Douglas G, Bub G, Channon K, Paterson DJ, Terrar DA, Burton RA.

Heart Rhythm. 2015 Oct;12(10):2186-94. doi: 10.1016/j.hrthm.2015.05.027. Epub 2015 May 27.

28.

A web portal for in-silico action potential predictions.

Williams G, Mirams GR.

J Pharmacol Toxicol Methods. 2015 Sep-Oct;75:10-6. doi: 10.1016/j.vascn.2015.05.002. Epub 2015 May 9.

29.

Cellular cardiac electrophysiology modeling with Chaste and CellML.

Cooper J, Spiteri RJ, Mirams GR.

Front Physiol. 2015 Jan 6;5:511. doi: 10.3389/fphys.2014.00511. eCollection 2014.

30.

Cardiac tissue slices: preparation, handling, and successful optical mapping.

Wang K, Lee P, Mirams GR, Sarathchandra P, Borg TK, Gavaghan DJ, Kohl P, Bollensdorff C.

Am J Physiol Heart Circ Physiol. 2015 May 1;308(9):H1112-25. doi: 10.1152/ajpheart.00556.2014. Epub 2015 Jan 16.

31.

Application of stochastic phenomenological modelling to cell-to-cell and beat-to-beat electrophysiological variability in cardiac tissue.

Walmsley J, Mirams GR, Pitt-Francis J, Rodriguez B, Burrage K.

J Theor Biol. 2015 Jan 21;365:325-36. doi: 10.1016/j.jtbi.2014.10.029. Epub 2014 Nov 4.

32.

Prediction of Thorough QT study results using action potential simulations based on ion channel screens.

Mirams GR, Davies MR, Brough SJ, Bridgland-Taylor MH, Cui Y, Gavaghan DJ, Abi-Gerges N.

J Pharmacol Toxicol Methods. 2014 Nov-Dec;70(3):246-54. doi: 10.1016/j.vascn.2014.07.002. Epub 2014 Jul 31.

33.

Ten simple rules for effective computational research.

Osborne JM, Bernabeu MO, Bruna M, Calderhead B, Cooper J, Dalchau N, Dunn SJ, Fletcher AG, Freeman R, Groen D, Knapp B, McInerny GJ, Mirams GR, Pitt-Francis J, Sengupta B, Wright DW, Yates CA, Gavaghan DJ, Emmott S, Deane C.

PLoS Comput Biol. 2014 Mar 27;10(3):e1003506. doi: 10.1371/journal.pcbi.1003506. eCollection 2014 Mar. No abstract available.

34.

Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment.

Elkins RC, Davies MR, Brough SJ, Gavaghan DJ, Cui Y, Abi-Gerges N, Mirams GR.

J Pharmacol Toxicol Methods. 2013 Jul-Aug;68(1):112-22. doi: 10.1016/j.vascn.2013.04.007. Epub 2013 May 5.

35.

Evaluation of an in silico cardiac safety assay: using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge.

Beattie KA, Luscombe C, Williams G, Munoz-Muriedas J, Gavaghan DJ, Cui Y, Mirams GR.

J Pharmacol Toxicol Methods. 2013 Jul-Aug;68(1):88-96. doi: 10.1016/j.vascn.2013.04.004. Epub 2013 Apr 25.

36.

Chaste: an open source C++ library for computational physiology and biology.

Mirams GR, Arthurs CJ, Bernabeu MO, Bordas R, Cooper J, Corrias A, Davit Y, Dunn SJ, Fletcher AG, Harvey DG, Marsh ME, Osborne JM, Pathmanathan P, Pitt-Francis J, Southern J, Zemzemi N, Gavaghan DJ.

PLoS Comput Biol. 2013;9(3):e1002970. doi: 10.1371/journal.pcbi.1002970. Epub 2013 Mar 14.

37.

mRNA expression levels in failing human hearts predict cellular electrophysiological remodeling: a population-based simulation study.

Walmsley J, Rodriguez JF, Mirams GR, Burrage K, Efimov IR, Rodriguez B.

PLoS One. 2013;8(2):e56359. doi: 10.1371/journal.pone.0056359. Epub 2013 Feb 20.

38.

Computational assessment of drug-induced effects on the electrocardiogram: from ion channel to body surface potentials.

Zemzemi N, Bernabeu MO, Saiz J, Cooper J, Pathmanathan P, Mirams GR, Pitt-Francis J, Rodriguez B.

Br J Pharmacol. 2013 Feb;168(3):718-33. doi: 10.1111/j.1476-5381.2012.02200.x.

39.

A theoretical investigation of the effect of proliferation and adhesion on monoclonal conversion in the colonic crypt.

Mirams GR, Fletcher AG, Maini PK, Byrne HM.

J Theor Biol. 2012 Nov 7;312:143-56. doi: 10.1016/j.jtbi.2012.08.002. Epub 2012 Aug 10.

PMID:
22902425
40.

Application of cardiac electrophysiology simulations to pro-arrhythmic safety testing.

Mirams GR, Davies MR, Cui Y, Kohl P, Noble D.

Br J Pharmacol. 2012 Nov;167(5):932-45. doi: 10.1111/j.1476-5381.2012.02020.x. Review.

41.

Application of human stem cell-derived cardiomyocytes in safety pharmacology requires caution beyond hERG.

Jonsson MK, Vos MA, Mirams GR, Duker G, Sartipy P, de Boer TP, van Veen TA.

J Mol Cell Cardiol. 2012 May;52(5):998-1008. doi: 10.1016/j.yjmcc.2012.02.002. Epub 2012 Feb 14.

PMID:
22353256
42.

Is it time for in silico simulation of drug cardiac side effects?

Mirams GR, Noble D.

Ann N Y Acad Sci. 2011 Dec;1245:44-7. doi: 10.1111/j.1749-6632.2011.06324.x.

PMID:
22211977
43.

Distinguishing possible mechanisms for auxin-mediated developmental control in Arabidopsis: models with two Aux/IAA and ARF proteins, and two target gene-sets.

Bridge LJ, Mirams GR, Kieffer ML, King JR, Kepinski S.

Math Biosci. 2012 Jan;235(1):32-44. doi: 10.1016/j.mbs.2011.10.005. Epub 2011 Oct 31.

PMID:
22067512
44.

Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): standardised reporting for model reproducibility, interoperability, and data sharing.

Quinn TA, Granite S, Allessie MA, Antzelevitch C, Bollensdorff C, Bub G, Burton RA, Cerbai E, Chen PS, Delmar M, Difrancesco D, Earm YE, Efimov IR, Egger M, Entcheva E, Fink M, Fischmeister R, Franz MR, Garny A, Giles WR, Hannes T, Harding SE, Hunter PJ, Iribe G, Jalife J, Johnson CR, Kass RS, Kodama I, Koren G, Lord P, Markhasin VS, Matsuoka S, McCulloch AD, Mirams GR, Morley GE, Nattel S, Noble D, Olesen SP, Panfilov AV, Trayanova NA, Ravens U, Richard S, Rosenbaum DS, Rudy Y, Sachs F, Sachse FB, Saint DA, Schotten U, Solovyova O, Taggart P, Tung L, Varró A, Volders PG, Wang K, Weiss JN, Wettwer E, White E, Wilders R, Winslow RL, Kohl P.

Prog Biophys Mol Biol. 2011 Oct;107(1):4-10. doi: 10.1016/j.pbiomolbio.2011.07.001. Epub 2011 Jul 6.

45.

High-throughput functional curation of cellular electrophysiology models.

Cooper J, Mirams GR, Niederer SA.

Prog Biophys Mol Biol. 2011 Oct;107(1):11-20. doi: 10.1016/j.pbiomolbio.2011.06.003. Epub 2011 Jun 15.

PMID:
21704062
46.

Novel approaches to assessing cardiac safety--proceedings of a workshop: regulators, industry and academia discuss the future of in silico cardiac modelling to predict the proarrhythmic safety of drugs.

Fletcher K, Shah RR, Thomas A, Tobin F, Rodriguez B, Mirams GR, Saiz J, Noble D.

Drug Saf. 2011 May 1;34(5):439-43. doi: 10.2165/11591950-000000000-00000. No abstract available.

47.

Simulation of multiple ion channel block provides improved early prediction of compounds' clinical torsadogenic risk.

Mirams GR, Cui Y, Sher A, Fink M, Cooper J, Heath BM, McMahon NC, Gavaghan DJ, Noble D.

Cardiovasc Res. 2011 Jul 1;91(1):53-61. doi: 10.1093/cvr/cvr044. Epub 2011 Feb 7.

48.

A hybrid approach to multi-scale modelling of cancer.

Osborne JM, Walter A, Kershaw SK, Mirams GR, Fletcher AG, Pathmanathan P, Gavaghan D, Jensen OE, Maini PK, Byrne HM.

Philos Trans A Math Phys Eng Sci. 2010 Nov 13;368(1930):5013-28. doi: 10.1098/rsta.2010.0173.

PMID:
20921009
49.

Modelling spatially regulated beta-catenin dynamics and invasion in intestinal crypts.

Murray PJ, Kang JW, Mirams GR, Shin SY, Byrne HM, Maini PK, Cho KH.

Biophys J. 2010 Aug 4;99(3):716-25. doi: 10.1016/j.bpj.2010.05.016.

50.

An integrative computational model for intestinal tissue renewal.

van Leeuwen IM, Mirams GR, Walter A, Fletcher A, Murray P, Osborne J, Varma S, Young SJ, Cooper J, Doyle B, Pitt-Francis J, Momtahan L, Pathmanathan P, Whiteley JP, Chapman SJ, Gavaghan DJ, Jensen OE, King JR, Maini PK, Waters SL, Byrne HM.

Cell Prolif. 2009 Oct;42(5):617-36. doi: 10.1111/j.1365-2184.2009.00627.x. Epub 2009 Jul 20.

PMID:
19622103

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