Xin Zhou

Interests
I am a member of the Computational Cardiovascular Science team in the British Heart Foundation Centre of Research Excellence. I am interested in developing and using mathematical models of human ventricular cell electrophysiology to investigate the effect of variability in the generation of potential pro-arrhythmic conditions in human ventricles. Especially, I am interested in the modelling of the ionic mechanisms underlying excitation-contraction coupling, genetic disorder of ion channels, and drug responses in human.
AWARD:
- Microsoft Research Project Award, Systems Biology Doctoral Training Centre, Oxford, 2012.
- Oxford-Bristol Myers Squibb Fellowship 2020
Biography
2016-now: Postdoc researcher in Department of Computer Science, University of Oxofrd, Oxford, UK
2012-2016: DPhil in Department of Computer Science, University of Oxofrd, Oxford, UK
2011-2012: Systems Biology Doctoral Traning Centre, University of Oxofrd, Oxford, UK
2008-2011: Msc in School of Life Sciences, Beijing Normal University, Beijing, China
2004-2008: Bsc in School of Life Sciences, Beijing Normal University, Beijing, China
Selected Publications
-
Blinded In Silico Drug Trial Reveals the Minimum Set of Ion Channels for Torsades de Pointes Risk Assessment.
Xin Zhou‚ Yusheng Qu‚ Elisa Passini‚ Alfonso Bueno−Orovio‚ Yang Liu‚ Hugo Vargas and Blanca Rodriguez.
In Frontiers in Pharmacology. Pages 10:1643. January, 2020.
Details about Blinded In Silico Drug Trial Reveals the Minimum Set of Ion Channels for Torsades de Pointes Risk Assessment. | BibTeX data for Blinded In Silico Drug Trial Reveals the Minimum Set of Ion Channels for Torsades de Pointes Risk Assessment. | DOI (10.3389/fphar.2019.01643)
-
General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico.
David G. Strauss. Zhihua Li Gary R. Mirams Takashi Yoshinaga Bradley J Ridder Xiaomei Han Janell E. Chen Norman L. Stockbridge Todd A. Wisialowski Bruce Damiano Stefano Severi Pierre Morissette Peter R. Kowey Mark Holbrook Godfrey Smith Randall L. Rasmusson Michael Liu Zhen Song Zhilin Qu Derek J. Leishman Jill Steidl−Nichols Blanca Rodriguez Alfonso Bueno−Orovio Xin Zhou Elisa Passini Andrew G. Edwards Stefano Morotti Haibo Ni Eleonora Grandi Colleen E. Clancy Jamie Vandenberg Adam Hill Mikiko Nakamura Thomas Singer Liudmila Polonchuk Andrea Greiter−Wilke Ken Wang Stephane Nave Aaron Fullerton Eric A. Sobie Michelangelo Paci Flora Musuamba Tshinanu
In Clinical Pharmacology and Therapeutics. Pages 107(1):102−111. January, 2020.
Details about General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico. | BibTeX data for General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico. | DOI (10.1002/cpt.1647)
-
Electrophysiological and anatomical factors determine arrhythmic risk in acute myocardial ischaemia and its modulation by sodium current availability.
Hector Martinez−Navarro‚ Xin Zhou‚ Alfonso Bueno−Orovio and Blanca Rodriguez
In The Royal Society Interface Focus. 2020.
Details about Electrophysiological and anatomical factors determine arrhythmic risk in acute myocardial ischaemia and its modulation by sodium current availability. | BibTeX data for Electrophysiological and anatomical factors determine arrhythmic risk in acute myocardial ischaemia and its modulation by sodium current availability.