LSH seminar David Craft (Massachusetts General hospital/Harvard Medical School/Broad Institute)

MHC class 1 peptide binding prediction using structurally informed machine learning

MHC class 1 peptide binding prediction using structurally informed machine learning

The major histocompatibility complex (MHC) is a set of proteins that display peptides on the outer cell surface for recognition by T-cells. MHC class 1 displays small protein fragments degraded from inside the cell to cytotoxic T-cells; an immune response is invoked if the peptides displayed are of foreign origin or mutated. Predicting if a given peptide will bind to a given MHC protein is needed for the design of class 1 based personalized cancer vaccines. We developed a systematic framework for training and evaluating the performance of algorithms in predicting MHC-binding peptides, and will present a comparison of several modeling approaches trained and tested with a ground truth dataset of 95 MHC alleles with their binding peptides.

David Craft is visiting CWI on Monday 20 and Tuesday 21 May. Feel free to drop by if you wish to have a chat.