Year |
Citation |
Score |
2023 |
Moreno JD, Silva JR. Emerging methods to model cardiac ion channel and myocyte electrophysiology. Biophysics Reviews. 4: 011315. PMID 37034130 DOI: 10.1063/5.0127713 |
0.386 |
|
2021 |
Mangold KE, Wang W, Johnson EK, Bhagavan D, Moreno JD, Nerbonne JM, Silva JR. Identification of structures for ion channel kinetic models. Plos Computational Biology. 17: e1008932. PMID 34398881 DOI: 10.1371/journal.pcbi.1008932 |
0.318 |
|
2019 |
Moreno JD, Zhu W, Mangold K, Chung W, Silva JR. A Molecularly Detailed Na1.5 Model Reveals a New Class I Antiarrhythmic Target. Jacc. Basic to Translational Science. 4: 736-751. PMID 31709321 DOI: 10.1016/J.Jacbts.2019.06.002 |
0.447 |
|
2019 |
Lambros MP, Fei Q, Moreno J. Abstract 30: The development of a 3D cell-culture model of drug-induced oral mucositis Cancer Research. 79: 30-30. DOI: 10.1158/1538-7445.Am2019-30 |
0.305 |
|
2018 |
Zhu W, Mazzanti A, Voelker T, Hou P, Moreno JD, Angsutararux P, Naegle KM, Priori SG, Silva JR. Predicting Patient Response to the Antiarrhythmic Mexiletine Based on Genetic Variation: Personalized Medicine for Long QT Syndrome. Circulation Research. PMID 30566038 DOI: 10.1161/Circresaha.118.314050 |
0.373 |
|
2018 |
Zhu W, Voelker TL, Moreno JD, Mazzanti A, Priori SG, Silva JR. Molecular Basis of Mexiletine Response Variability in Sodium Channels with Long QT Mutations Biophysical Journal. 114: 636a. DOI: 10.1016/J.Bpj.2017.11.3436 |
0.331 |
|
2018 |
Moreno J, Zhu W, Silva J. A Computational Model of the Cardiac Sodium Channel DIII Voltage Sensor: Connecting Molecular Movements to Tissue Dynamics Biophysical Journal. 114: 632a-633a. DOI: 10.1016/J.Bpj.2017.11.3418 |
0.375 |
|
2017 |
Mangold KE, Brumback BD, Angsutararux P, Voelker TL, Zhu W, Kang PW, Moreno J, Silva JR. Mechanisms and Models of Cardiac Sodium Channel Inactivation. Channels (Austin, Tex.). 0. PMID 28837385 DOI: 10.1080/19336950.2017.1369637 |
0.448 |
|
2016 |
Yang PC, Moreno JD, Jeng MT, Wehrens XH, Noskov S, Clancy CE. Reply from Pei-Chi Yang, Jonathan D. Moreno, Mao-Tsuen Jeng, Xander H. T. Wehrens, Sergei Noskov and Colleen E. Clancy. The Journal of Physiology. 594: 6433-6435. PMID 27800622 DOI: 10.1113/Jp273143 |
0.465 |
|
2016 |
Moreno JD, Lewis TJ, Clancy CE. Parameterization for In-Silico Modeling of Ion Channel Interactions with Drugs. Plos One. 11: e0150761. PMID 26963710 DOI: 10.1371/Journal.Pone.0150761 |
0.592 |
|
2015 |
Yang PC, Moreno JD, Miyake CY, Vaughn-Behrens SB, Jeng MT, Grandi E, Wehrens XH, Noskov S, Clancy CE. In silico prediction of drug therapy in catecholaminergic polymorphic ventricular tachycardia. The Journal of Physiology. PMID 26515697 DOI: 10.1113/Jp271282 |
0.631 |
|
2013 |
Moreno JD, Yang PC, Bankston JR, Grandi E, Bers DM, Kass RS, Clancy CE. Ranolazine for congenital and acquired late INa-linked arrhythmias: in silico pharmacological screening. Circulation Research. 113: e50-61. PMID 23897695 DOI: 10.1161/Circresaha.113.301971 |
0.616 |
|
2012 |
Roberts BN, Yang PC, Behrens SB, Moreno JD, Clancy CE. Computational approaches to understand cardiac electrophysiology and arrhythmias. American Journal of Physiology. Heart and Circulatory Physiology. 303: H766-83. PMID 22886409 DOI: 10.1152/Ajpheart.01081.2011 |
0.592 |
|
2012 |
Moreno JD, Clancy CE. Pathophysiology of the cardiac late Na current and its potential as a drug target. Journal of Molecular and Cellular Cardiology. 52: 608-19. PMID 22198344 DOI: 10.1016/J.Yjmcc.2011.12.003 |
0.616 |
|
2011 |
Moreno JD, Zhu ZI, Yang PC, Bankston JR, Jeng MT, Kang C, Wang L, Bayer JD, Christini DJ, Trayanova NA, Ripplinger CM, Kass RS, Clancy CE. A computational model to predict the effects of class I anti-arrhythmic drugs on ventricular rhythms. Science Translational Medicine. 3: 98ra83. PMID 21885405 DOI: 10.1126/Scitranslmed.3002588 |
0.656 |
|
2010 |
Moreno JD, Bankston JR, Kass RS, Clancy C. Cardiac Dynamics In-Silico: Pharmacological Targeting of Long QT3 Syndrome Biophysical Journal. 98: 8a. DOI: 10.1016/J.Bpj.2009.12.050 |
0.631 |
|
2009 |
Moreno JD, Clancy CE. Using computational modeling to predict arrhythmogenesis and antiarrhythmic therapy. Drug Discovery Today. Disease Models. 6: 71-84. PMID 20652086 DOI: 10.1016/J.Ddmod.2010.03.001 |
0.619 |
|
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