Computational Immunology & Precision Immunotherapy
Modelling immune repertoires and immune-related markers to predict who benefits from immunotherapy.
What this centre does
Immunotherapy transforms outcomes for some patients and does nothing for others. This centre models the immune system computationally — immune repertoires, neoantigens, immune evasion and the tumour microenvironment — to build better predictors of who will benefit.
Methods
Neoantigen prediction and prioritisation; HLA typing and loss analysis; immune repertoire analysis; deconvolution of immune composition from bulk data; response-prediction modelling.
Data inputs
Tumour profiles including TMB, MSI and MMR status (via OnKommon); immune-related markers; treatment and response data.
Outputs
Response-prediction models; neoantigen pipelines; publications.
Funding route
Immuno-oncology grant calls; pharma collaboration on response biomarkers.
What has to be true first
Matched treatment and response data at sufficient volume to train and validate predictors.
Themes this centre carries
Work with this centre
The research centres collaborate with funders, sponsors, hospitals and academic groups. Tell us what you are working on and the enquiry is routed to the centre lead.
Contact the research office