Pei-Chi Yang

发表

Computational approaches to understand cardiac electrophysiology and arrhythmias.

C. Clancy, B. N. Roberts, Pei-Chi Yang, 2012, American journal of physiology. Heart and circulatory physiology.

A Computational Model to Predict the Effects of Class I Anti-Arrhythmic Drugs on Ventricular Rhythms

N. Trayanova, C. Ripplinger, Lianguo Wang, 2011, Science Translational Medicine.

A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal‐induced arrhythmias

Kevin R. DeMarco, Junko Kurokawa, Pei-Chi Yang, 2017, The Journal of physiology.

A Computational Pipeline to Predict Cardiotoxicity

Kevin R. DeMarco, V. Yarov-Yarovoy, I. Vorobyov, 2020, Circulation research.

Reply from Pei‐Chi Yang, Jonathan D. Moreno, Mao‐Tsuen Jeng, Xander H. T. Wehrens, Sergei Noskov and Colleen E. Clancy

X. Wehrens, S. Noskov, C. Clancy, 2016, The Journal of physiology.

Sex-specific classification of drug-induced Torsade de Pointes susceptibility using cardiac simulations and machine learning

Alex Fogli Iseppe, C. Clancy, H. Ni, 2020, bioRxiv.

Determinants of Isoform-Specific Gating Kinetics of hERG1 Channel: Combined Experimental and Simulation Study

H. Duff, S. Noskov, C. Clancy, 2018, Front. Physiol..

A deep learning algorithm to translate and classify cardiac electrophysiology: From induced pluripotent stem cell-derived cardiomyocytes to adult cardiac cells

Colleen E. Clancy, Yasunari Kanda, Junko Kurokawa, 2020 .

A deep learning algorithm to translate and classify cardiac electrophysiology: From iPSC-CMs to adult cardiac cells

Divya C. Kernik, I. Vorobyov, C. Clancy, 2020 .

The Phase Lag between Agonist-Induced Oscillatory Ca2+ and IP3 Signals Does Not Imply Causality (December 2015).

M. S. Jafri, Pei-Chi Yang, 2015, Calcium signaling.

In silico screening of the impact of hERG channel kinetic abnormalities on channel block and susceptibility to acquired long QT syndrome.

C. Clancy, J. Saiz, B. Trénor, 2015, Journal of molecular and cellular cardiology.

Effects of Sex Hormones on Cardiac Repolarization

C. Clancy, Pei-Chi Yang, 2010, Journal of Cardiovascular Pharmacology.

Compartmentalized cAMP Signaling Associated With Lipid Raft and Non-raft Membrane Domains in Adult Ventricular Myocytes

Shailesh Agarwal, C. Clancy, R. Harvey, 2018, Front. Pharmacol..

NFAT and NFκB Activation in T Lymphocytes: A Model of Differential Activation of Gene Expression

Wayne G. Fisher, Pei-Chi Yang, Ram K. Medikonduri, 2006, Annals of Biomedical Engineering.

Ca2+ signaling in T lymphocytes: the interplay of the endoplasmic reticulum, mitochondria, membrane potential, and CRAC channels on transcription factor activation

M. S. Jafri, Pei-Chi Yang, 2020, Heliyon.

Molecular determinants of pro-arrhythmia proclivity of d- and l-sotalol via a multi-scale modeling pipeline

Kevin R. DeMarco, Jon T. Sack, J. Fettinger, 2021, Journal of molecular and cellular cardiology.

Ranolazine for Congenital and Acquired Late INa-Linked Arrhythmias: In Silico Pharmacological Screening

Donald M Bers, Eleonora Grandi, Pei-Chi Yang, 2013, Circulation research.

Role of Membrane Microdomains in Compartmentation of cAMP Signaling

M. Lohse, C. Singer, Shailesh Agarwal, 2014, PloS one.

Mechanisms of Calmodulin Regulation of Different Isoforms of Kv7.4 K+ Channels*

V. Yarov-Yarovoy, Hyo Jeong Kim, C. Clancy, 2015, The Journal of Biological Chemistry.

A novel heterozygous mutation in cardiac calsequestrin causes autosomal dominant catecholaminergic polymorphic ventricular tachycardia.

E. Haan, C. Semsarian, J. Ingles, 2016, Heart rhythm.

Gender-based differences in cardiac diseases

C. Clancy, Pei-Chi Yang, 2011, Journal of biomedical research.

Corporate governance, growth opportunities, and the choices of cross-listings: the case of Chinese ADRs

Pei-Chi Yang, Lee-Hsien Pan, Chien-ting Lin, 2013 .

A deep learning algorithm to translate and classify cardiac electrophysiology

Divya C. Kernik, I. Vorobyov, C. Clancy, 2021, eLife.

A deep learning algorithm to translate and classify cardiac electrophysiology: From induced pluripotent stem cell-derived cardiomyocytes to adult cardiac cells

Divya C. Kernik, I. Vorobyov, C. Clancy, 2020 .

Acute Effects of Sex Steroid Hormones on Susceptibility to Cardiac Arrhythmias: A Simulation Study

Colleen E. Clancy, Junko Kurokawa, Pei-Chi Yang, 2010, PLoS Comput. Biol..

A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation

Colleen E. Clancy, Andrew D. McCulloch, Timothy J. Lewis, 2016, PLoS Comput. Biol..

In silico prediction of drug therapy in catecholaminergic polymorphic ventricular tachycardia

Colleen E. Clancy, Eleonora Grandi, X. Wehrens, 2015, The Journal of physiology.

When Does the IC50 Accurately Assess the Blocking Potency of a Drug?

Javier Saiz, Brandon M. Brown, Beatriz Trenor, 2020, J. Chem. Inf. Model..

A computational model of induced pluripotent stem-cell derived cardiomyocytes for high throughput risk stratification of KCNQ1 genetic variants

Colleen E. Clancy, Junko Kurokawa, Pei-Chi Yang, 2020, PLoS Comput. Biol..

A computational pipeline to predict cardiotoxicity: From the atom to the rhythm

Kevin R. DeMarco, Colleen E. Clancy, Vladimir Yarov-Yarovoy, 2019, bioRxiv.

A computational model predicts sex-specific responses to calcium channel blockers in mesenteric vascular smooth muscle

C. Clancy, Pei-Chi Yang, T. J. Lewis, 2023, bioRxiv.

Atomistic modeling towards predictive cardiotoxicity

Kevin R. DeMarco, John R.D. Dawson, Slava Bekker, 2019, bioRxiv.

Sex‐Specific Classification of Drug‐Induced Torsade de Pointes Susceptibility Using Cardiac Simulations and Machine Learning

C. Clancy, H. Ni, Pei-Chi Yang, 2021, Clinical pharmacology and therapeutics.

In silico Prediction of Sex-Based Differences in Human Susceptibility to Cardiac Ventricular Tachyarrhythmias

Colleen E. Clancy, Pei-Chi Yang, C. Clancy, 2012, Front. Physio..

Mechanisms of flecainide induced negative inotropy: An in silico study

W. Giles, C. Clancy, L. Belardinelli, 2021, Journal of molecular and cellular cardiology.

A computational modelling approach combined with cellular electrophysiology data provides insights into the therapeutic benefit of targeting the late Na+ current

Ye Chen-Izu, Pei-Chi Yang, Colleen E Clancy, 2015, The Journal of physiology.

Computational approaches to understand cardiac electrophysiology and arrhythmias.

C. Clancy, B. N. Roberts, Pei-Chi Yang, 2012, American journal of physiology. Heart and circulatory physiology.

A multiscale predictive digital twin for neurocardiac modulation

Kevin R. DeMarco, C. Ripplinger, I. Vorobyov, 2023, The Journal of physiology.

In silico screening of the impact of hERG channel kinetic abnormalities on channel block and susceptibility to acquired long QT syndrome.

C. Clancy, J. Saiz, B. Trénor, 2014, Journal of molecular and cellular cardiology.

A computational model predicts sex-specific responses to calcium channel blockers in mesenteric vascular smooth muscle

C. Clancy, Pei-Chi Yang, T. J. Lewis, 2023, bioRxiv.

A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows

Kevin R. DeMarco, Ilkay Altintas, Rommie E. Amaro, 2019, PLoS Comput. Biol..

Ranolazine for Congenital and Acquired Late INa Linked Arrhythmias: In Silico Pharmacologic Screening

D. Bers, Pei-Chi Yang, Colleen E. Clancy, 2013 .

A computational model predicts adjunctive pharmacotherapy for cardiac safety via selective inhibition of the late cardiac Na current

Colleen E. Clancy, Wayne R. Giles, Pei-Chi Yang, 2016, Journal of molecular and cellular cardiology.