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Building FAIR Machine Learning-Ready Data on MHC-Ligand Interactions: Insights from Structural Data and ML Predictions
Major Histocompatibility Complex (MHC molecules) are a cornerstone of the adaptive immune system. They present antigens to T-cells for surveillance.
While we have a reasonably large number of experimentally determined three-dimensional structures of MHC molecules, there is low diversity in the dataset and it represents a very small fraction of the universe of potential complexes.
Despite this caveat, we can discern patterns within antigen presentation/recognition in the bulk data. If we benchmark these methods robustly, we can potentially extend using synthetic data from machine learning prediction methods such as AlphaFold.
Date:
7 April 2025, 13:00
Venue:
Online only
Speaker:
Dr Chris Thorpe (Marie Curie ARISE Fellow EBI)
Organiser contact email address:
immunoai@maillist.ox.ac.uk
Host:
Dr Hashem Koohy (University of Oxford)
Part of:
Unravelling T Cell Recognition: Insights from Immunology and AI
Booking required?:
Required
Booking url:
https://tinyurl.com/TCRAtigenSpecificity
Audience:
Members of the University only
Editor:
Sally Pelling-Deeves
