A computational model to predict the effects of class I anti-arrhythmic drugs on ventricular rhythms.

  title={A computational model to predict the effects of class I anti-arrhythmic drugs on ventricular rhythms.},
  author={Jonathan D. Moreno and Zheng I. Zhu and Pei-Chi Yang and John R. Bankston and Mao-Tsuen Jeng and Chaoyi Kang and Lianguo Wang and Jason D. Bayer and David J. Christini and Natalia A. Trayanova and Crystal M Ripplinger and Robert S. Kass and Colleen E. Clancy},
  journal={Science translational medicine},
  volume={3 98},
A long-sought, and thus far elusive, goal has been to develop drugs to manage diseases of excitability. One such disease that affects millions each year is cardiac arrhythmia, which occurs when electrical impulses in the heart become disordered, sometimes causing sudden death. Pharmacological management of cardiac arrhythmia has failed because it is not possible to predict how drugs that target cardiac ion channels, and have intrinsically complex dynamic interactions with ion channels, will… CONTINUE READING
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