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Research Interests

Alpha-helical transmembrane proteins constitute roughly 30% of a typical genome and play critical roles in a diverse range of essential biological processes, while many are also important drug targets. Structural genomics initiatives have led to a recent increase in the number of solved transmembrane crystal structures; however, coverage of transmembrane fold space remains sparse, particularly at high resolutions, with only about 300 unique structures deposited as of 2011. This sequence-structure gap necessitates the development of advanced computational methods to predict transmembrane protein structure, helping to further our knowledge of the structure and function of these important proteins. I currently hold a Medical Research Council special training fellowship in biomedical informatics, with a focus on transmembrane protein structure prediction and machine learning. I am also a member of the CASP10 assessment team, and I am a reviewer for a number of journals including Bioinformatics, BMC Bioinformatics, Journal of Structural Biology, Proteomics, Amino Acids and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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