Kylie Beattie
Dr Kylie Beattie
Interests
I am interested in the application of mathematical modelling and simulation to facilitate pharmaceutical drug cardiac safety assessment. My current research is focused on mathematical modelling of the cardiac ion channel hERG. We aim to investigate whether an improved representation of drug interaction with the hERG channel within mathematical cardiac cell models will lead to enhanced predictions of drug effects on cardiac electrical activity. I have designed novel experimental protocols and performed these in patch clamp experiments to explore hERG channel kinetics. I am using the experimental data generated to construct and validate mathematical models describing hERG channel kinetics. Prior to this I used ion channel screening data generated from multiple screening modalities to perform a large-scale evaluation of an in silico approach for predicting the results of an animal-based cardiac safety test performed at GlaxoSmithKline.
Biography
I obtained a MMath degree in Mathematics from the University of Warwick in 2010. I then joined the Systems Approaches to Biomedical Science Industrial Doctorate Centre in Oxford and completed my DPhil within the Computational Biology group in 2015. My DPhil focused on the use of mathematical modelling for drug cardiac safety assessment and was supervised by Dr Gary Mirams and Professor David Gavaghan and undertaken in collaboration with Safety Pharmacology at GlaxoSmithKline. I am currently a postdoctoral research assistant within the Computational Biology group.
Selected Publications
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Evaluation of an In Silico Cardiac Safety Assay: Using Ion Channel Screening Data to Predict QT Interval Changes in the Rabbit Ventricular Wedge
Kylie A. Beattie‚ Chris Luscombe‚ Geoff Williams‚ Jordi Munoz−Muriedas‚ David J. Gavaghan‚ Yi Cui and Gary R. Mirams
In Journal of Pharmacological and Toxicological Methods. Vol. 68. No. 1. Pages 88−96. 2013.
Details about Evaluation of an In Silico Cardiac Safety Assay: Using Ion Channel Screening Data to Predict QT Interval Changes in the Rabbit Ventricular Wedge | BibTeX data for Evaluation of an In Silico Cardiac Safety Assay: Using Ion Channel Screening Data to Predict QT Interval Changes in the Rabbit Ventricular Wedge | DOI (10.1016/j.vascn.2013.04.004) | Link to Evaluation of an In Silico Cardiac Safety Assay: Using Ion Channel Screening Data to Predict QT Interval Changes in the Rabbit Ventricular Wedge
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Evaluation of computational modelling as a preclinical proarrhythmic safety assay
G Mirams‚ K Beattie‚ Y Cui‚ C Luscombe‚ G Williams‚ D Gavaghan and N McMahon
Vol. 86. No. 1. Pages e21. 2013.
Details about Evaluation of computational modelling as a preclinical proarrhythmic safety assay | BibTeX data for Evaluation of computational modelling as a preclinical proarrhythmic safety assay | DOI (10.1016/j.vascn.2013.01.081)