New methods to capture protein dynamics of the TSC-mTOR signalling axis.

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Protein flexibility, the way proteins move, has a major role in how they function. However, we still do not have the tools to analyse this flexibility. Our cells have evolved many complex and flexible systems to sense and respond to their environment. For example, the TSC-mTOR system is found across life, from baker’s yeast to humans, however it remains poorly understood. This proposal will study TSC as an exemplar to develop novel machine-learning approaches to capture protein flexibility and shape. This proposal will advance fundamental understanding of the TSC-mTOR pathway and build transformative methodologies to study flexible proteins more broadly.