About the Project
Determining the 3D fold of a protein is not always straight forward. In cases where the structure of a protein has been determined experimentally, the fold can then be directly visualised. However, solving structures experimentally is time consuming and expensive and so the vast majority of proteins with known sequences have unknown structures. Fortunately, in the majority of cases we can use predictive tools that allow us to rapidly and accurately model the shapes of proteins in silico, which helps us to determine their likely functions and interactions.
This project will aim to develop improved computational methods for rapidly and confidently predicting the structures, functions and interactions of proteins using only amino acid sequence information. Once a catalogue of accurately predicted structures for the majority of proteins within a cell is available, the aim is to predict their ability to interact with small molecules and each other, to form the complex cellular machinery upon which life depends. This vital information will allow us to produce novel or more efficient products for use in medicine and will help us to better understand the mechanisms of the leading causes of death, such as heart disease, stroke and cancer.
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