SORS/womeninBSC: alphaFold predicted structures expand our understanding of functional ivergence in protein families

The recent development of the AlphaFold2 method by DeepMind, has led to a massive expansion in high quality predicted protein structure data. Our group have developed computational protocols (Chainsaw, CATH-AlphaFlow) to classify these structural data into evolutionary families. In collaboration with the group of David Jones, also at UCL, we have classified >200 million predicted structures in the AlphaFold database into evolutionary families. This information is available in a new resource – TED – The Encyclopaedia of Domains. My group have also developed methods for subclassifying proteins in evolutionary families into functional families. In the talk I will present some insights from TED and describe how we are using the TED data and our functional families for drug repurposing and to analyse the impacts of genetic variations in lung cancer.