Hashem Koohy -- Decoding T cell recognition: Unravelling the intricacies of adaptive T cell immunity [IN PERSON]
|Dates:||27 November 2023|
|Times:||14:00 - 15:00|
|What is it:||Seminar|
|Organiser:||Department of Mathematics|
|Who is it for:||University staff, External researchers, Current University students|
Join us for this seminar by Hashem Koohy (University of Oxford) as part of the North West Seminar Series in Mathematical Biology and Data Sciences. Details of the full series can be found here https://www.cms.livjm.ac.uk/APMSeminar/
The talk will be hosted in person in the Williamson Building, Room G.03. For those who cannot attend in person the talk will also be streamed via zoom, please contact email@example.com or firstname.lastname@example.org for the zoom link, or sign up to the mailing list.
T cells play a pivotal role in cellular immunity, effectively identifying and eliminating infected or aberrant cells. The initiation of T cell response hinges on the recognition of specific antigens presented by MHC or other similar molecules on target cells. Despite its significance, the underlying principles governing the interaction remains incompletely understood, posing a considerable challenge in mapping T cell-antigen landscape.
I will start by elucidating a number of obstacles that hinder progress in accurately mapping T cells to their target antigens. Computational modelling of T cell cross-reactivity and prediction of immunogenic T cell epitopes are notably complex tasks that will be discussed in more details, and several issues associated with poor performance of existing models will be presented. I will then introduce a new deep neural network model that we have developed to address these issues. I will finally illustrate how this strategy is used to model the dynamics of the response of CD8 T cells to emerging SARS-CoV-2 mutant variants.
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Role: Associate Professor of Systems Immunology
Organisation: University of Oxford
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