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Dr David Huggins

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Research interests

Our research is focused on the development of novel computational methods to solve biological problems in the field of medicine. We believe that computational work must be driven to match experimental data. We use statistical mechanical methods to understand the thermodynamics of binding, with specific application to molecular design tools for developing effective new therapeutics. On the theoretical side, we are interested in computing entropy and mutual information from high-order correlations. We also devise methods to probe the surfaces and binding sites of proteins to find druggable targets, by identifying binding hot spots. This work is applied through collaborations with a number of drug-development projects at the University of Cambridge and elsewhere, applying rational methods to design small-molecule inhibitors for diseases such as cancer, malaria and tuberculosis

Publications

About us

The Cambridge Big Data Strategic Research Initiative brings together researchers from across the University to address challenges presented by our access to unprecedented volumes of data. Our research spans all six Schools of the University, from the underlying fundamentals in mathematics and computer science, to applications ranging from astronomy and bioinformatics, to medicine, social science and the humanities

In parallel, our research addresses important issues around law, ethics and economics, in order to apply Big Data to solve challenging problems for society.

Cambridge Big Data supports collaboration and knowledge transfer in this growing field. 

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