Prof Simon Hubbard BSc, PhD

Professor of Computational Biology

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Our group is interested in using computers to understand biological phenomena, via data analysis, modelling and prediction. Our main focus at present is on the area of quantitative proteomics: how can we measure the levels of all the individual proteins in cells and tissues, and understand how these levels change in different conditions, as well as under stress. We are working on methods to do this in collaboration with mass spectrometrists and protein chemists, developing software for experimental design and downstream analysis of results, using yeast and the fruit fly as model systems. In parallel, we are analysing experimental RNA sequencing data in yeast to understand how cells regulate the translation of mRNA in to proteins, a fundamental process of molecular biology which is now know to play a significant role in the regulation of gene expression, particularly under stress conditions.


  • proteomics, bioinformatics, systems biology , yeast, Drosophila, gene expression, translational control, RNA binding proteins

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