公开(公告)号：US20240282409A1

公开(公告)日：2024-08-22

申请号：US18650820

申请日：2024-04-30

Applicant: THE BOARD OF REGENTS OF THE UNIVERSITY OF TEXAS SYSTEM

Inventor： Tao WANG ,  Yi Han ,  Tianshi Lu ,  Yuqiu Yang

IPC: G16B20/30 ,  G16B25/10 ,  G16B40/00

CPC classification number: G16B20/30 ,  G16B25/10 ,  G16B40/00

Abstract: The disclosed technology relates to a computer-implemented method for predicting T cell receptor (TCR) binding specificities towards T cell antigen targets (namely, peptide-major histocompatibility complexes, pMHCs), and a set of extensions of this method, include prediction of immune-related adverse events (irAEs) using a machine learning model. The method involves obtaining genomic and proteomic data from patients, determining TCR and pMHC sequences by analyzing these data, and predicting binding interactions between T cell antigens and the TCRs. The extensions include: (a) a transfer learning model for improving the predictive performance of a pre-trained TCR-antigen binding model as a foundation model, to enhance prediction for a specific pMHC, (b) a biomarker metric defined based on the output of the TCR-pMHC binding prediction method, for diagnosis, prognosis and response prediction purposes, (c) a method, based on the output of the TCR-pMHC binding prediction method, to select optimal antigens for tumor vaccines.