Computational de-orphanisation of T Cell Receptors using yeast peptide-MHC display libraries
Lead Research Organisation:
University of Oxford
Department Name: Interdisciplinary Bioscience DTP
Abstract
This project aims to develop a machine learning pipeline for the prediction of off-target binding by candidate T cell receptor therapeutics, and for the identification of the natural ligands of orphan TCRs, using data from experimental yeast peptide-MHC binding libraries generated in the Fernandes lab.
UKRI-BBSRC priorities: Understanding the rules of life / Transformative technologies
UKRI-BBSRC priorities: Understanding the rules of life / Transformative technologies
People |
ORCID iD |
| Ricardo Fernandes (Primary Supervisor) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| BB/T008784/1 | 01/10/2020 | 30/09/2028 | |||
| 2888877 | Studentship | BB/T008784/1 | 01/10/2021 | 30/09/2025 |