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Computational Models for Predictive Cardiac Ion Channel Pharmacology.

Drug discovery today. Disease models

Yarov-Yarovoy V, Allen TW, Clancy CE.
PMID: 26635886
Drug Discov Today Dis Models. 2014;14:3-10. doi: 10.1016/j.ddmod.2014.04.001. Epub 2014 Aug 05.

A wealth of experimental data exists describing the elementary building blocks of complex physiological systems. However, it is increasingly apparent in the biomedical sciences that mechanisms of biological function cannot be observed or readily predicted via study of constituent...

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Yarov-Yarovoy V, Allen TW, Clancy CE. Computational Models for Predictive Cardiac Ion Channel Pharmacology. Drug Discov Today Dis Models. 2014;14:3-10doi: 10.1016/j.ddmod.2014.04.001.
Yarov-Yarovoy, V., Allen, T. W., & Clancy, C. E. (2014). Computational Models for Predictive Cardiac Ion Channel Pharmacology. Drug discovery today. Disease models, 143-10. https://doi.org/10.1016/j.ddmod.2014.04.001
Yarov-Yarovoy, Vladimir, et al. "Computational Models for Predictive Cardiac Ion Channel Pharmacology." Drug discovery today. Disease models vol. 14 (2014): 3-10. doi: https://doi.org/10.1016/j.ddmod.2014.04.001
Yarov-Yarovoy V, Allen TW, Clancy CE. Computational Models for Predictive Cardiac Ion Channel Pharmacology. Drug Discov Today Dis Models. 2014;14:3-10. doi: 10.1016/j.ddmod.2014.04.001. Epub 2014 Aug 05. PMID: 26635886; PMCID: PMC4665638.
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In silico Prediction of Sex-Based Differences in Human Susceptibility to Cardiac Ventricular Tachyarrhythmias.

Frontiers in physiology

Yang PC, Clancy CE.
PMID: 23049511
Front Physiol. 2012 Sep 14;3:360. doi: 10.3389/fphys.2012.00360. eCollection 2012.

Sex-based differences in human susceptibility to cardiac ventricular tachyarrhythmias likely result from the emergent effects of multiple intersecting processes that fundamentally differ in male and female hearts. Included are measured differences in the genes encoding key cardiac ion channels...

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Yang PC, Clancy CE. In silico Prediction of Sex-Based Differences in Human Susceptibility to Cardiac Ventricular Tachyarrhythmias. Front Physiol. 2012;3:360doi: 10.3389/fphys.2012.00360.
Yang, P. C., & Clancy, C. E. (2012). In silico Prediction of Sex-Based Differences in Human Susceptibility to Cardiac Ventricular Tachyarrhythmias. Frontiers in physiology, 3360. https://doi.org/10.3389/fphys.2012.00360
Yang, Pei-Chi, and Clancy, Colleen E. "In silico Prediction of Sex-Based Differences in Human Susceptibility to Cardiac Ventricular Tachyarrhythmias." Frontiers in physiology vol. 3 (2012): 360. doi: https://doi.org/10.3389/fphys.2012.00360
Yang PC, Clancy CE. In silico Prediction of Sex-Based Differences in Human Susceptibility to Cardiac Ventricular Tachyarrhythmias. Front Physiol. 2012 Sep 14;3:360. doi: 10.3389/fphys.2012.00360. eCollection 2012. PMID: 23049511; PMCID: PMC3442371.
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Using computational modeling to predict arrhythmogenesis and antiarrhythmic therapy.

Drug discovery today. Disease models

Moreno JD, Clancy CE.
PMID: 20652086
Drug Discov Today Dis Models. 2009;6(3):71-84. doi: 10.1016/j.ddmod.2010.03.001.

The use of computational modeling to predict arrhythmia and arrhythmogensis is a relatively new field, but has nonetheless dramatically enhanced our understanding of the physiological and pathophysiological mechanisms that lead to arrhythmia. This review summarizes recent advances in the...

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Moreno JD, Clancy CE. Using computational modeling to predict arrhythmogenesis and antiarrhythmic therapy. Drug Discov Today Dis Models. 2009;6(3):71-84doi: 10.1016/j.ddmod.2010.03.001.
Moreno, J. D., & Clancy, C. E. (2009). Using computational modeling to predict arrhythmogenesis and antiarrhythmic therapy. Drug discovery today. Disease models, 6(3), 71-84. https://doi.org/10.1016/j.ddmod.2010.03.001
Moreno, Jonathan D, and Clancy, Colleen E. "Using computational modeling to predict arrhythmogenesis and antiarrhythmic therapy." Drug discovery today. Disease models vol. 6,3 (2009): 71-84. doi: https://doi.org/10.1016/j.ddmod.2010.03.001
Moreno JD, Clancy CE. Using computational modeling to predict arrhythmogenesis and antiarrhythmic therapy. Drug Discov Today Dis Models. 2009;6(3):71-84. doi: 10.1016/j.ddmod.2010.03.001. PMID: 20652086; PMCID: PMC2905809.
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A Combined Approach Using Patch-Clamp Study and Computer Simulation Study for Understanding Long QT Syndrome and TdP in Women.

Current cardiology reviews

Furukawa T, Kurokawa J, Clancy CE.
PMID: 20066131
Curr Cardiol Rev. 2008 Nov;4(4):244-50. doi: 10.2174/157340308786349507.

Female sex is an independent risk factor for development of torsade de pointes (TdP)-type arrhythmias in both congenital and acquired long QT syndrome (LQTS). In females, QT(c) interval and TdP risk vary during the menstrual cycle and around delivery....

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Furukawa T, Kurokawa J, Clancy CE. A Combined Approach Using Patch-Clamp Study and Computer Simulation Study for Understanding Long QT Syndrome and TdP in Women. Curr Cardiol Rev. 2008;4(4):244-50doi: 10.2174/157340308786349507.
Furukawa, T., Kurokawa, J., & Clancy, C. E. (2008). A Combined Approach Using Patch-Clamp Study and Computer Simulation Study for Understanding Long QT Syndrome and TdP in Women. Current cardiology reviews, 4(4), 244-50. https://doi.org/10.2174/157340308786349507
Furukawa, Tetsushi, et al. "A Combined Approach Using Patch-Clamp Study and Computer Simulation Study for Understanding Long QT Syndrome and TdP in Women." Current cardiology reviews vol. 4,4 (2008): 244-50. doi: https://doi.org/10.2174/157340308786349507
Furukawa T, Kurokawa J, Clancy CE. A Combined Approach Using Patch-Clamp Study and Computer Simulation Study for Understanding Long QT Syndrome and TdP in Women. Curr Cardiol Rev. 2008 Nov;4(4):244-50. doi: 10.2174/157340308786349507. PMID: 20066131; PMCID: PMC2801855.
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Arrhythmia models: in vivo, in vitro and in silico.

Drug discovery today. Disease models

Akar FG, Clancy CE.
PMID: 21072326
Drug Discov Today Dis Models. 2009;6(3):55-56. doi: 10.1016/j.ddmod.2010.04.001.

No abstract available.

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Akar FG, Clancy CE. Arrhythmia models: in vivo, in vitro and in silico. Drug Discov Today Dis Models. 2009;6(3):55-56doi: 10.1016/j.ddmod.2010.04.001.
Akar, F. G., & Clancy, C. E. (2009). Arrhythmia models: in vivo, in vitro and in silico. Drug discovery today. Disease models, 6(3), 55-56. https://doi.org/10.1016/j.ddmod.2010.04.001
Akar, Fadi G, and Clancy, Colleen E. "Arrhythmia models: in vivo, in vitro and in silico." Drug discovery today. Disease models vol. 6,3 (2009): 55-56. doi: https://doi.org/10.1016/j.ddmod.2010.04.001
Akar FG, Clancy CE. Arrhythmia models: in vivo, in vitro and in silico. Drug Discov Today Dis Models. 2009;6(3):55-56. doi: 10.1016/j.ddmod.2010.04.001. PMID: 21072326; PMCID: PMC2976541.
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Showing 1 to 5 of 5 entries