Invention Application
- Patent Title: PREDICTING IMMUNOGENICITY OF T CELL EPITOPES
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Application No.: US17539157Application Date: 2021-11-30
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Publication No.: US20220093209A1Publication Date: 2022-03-24
- Inventor: Ugur Sahin , Arbel David Tadmor , John Christopher Castle , Sebastian Boegel , Martin Löwer
- Applicant: BioNTech SE , TRON-Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz gG
- Applicant Address: DE Mainz; DE Mainz
- Assignee: BioNTech SE,TRON-Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz gG
- Current Assignee: BioNTech SE,TRON-Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz gG
- Current Assignee Address: DE Mainz; DE Mainz
- Priority: EPPCT/EP2013/001400 20130510
- Main IPC: G16B20/20
- IPC: G16B20/20 ; G16B20/00 ; A61K39/00 ; C12Q1/6886

Abstract:
The present invention relates to methods for predicting T cell epitopes. In particular, the present invention relates to methods for predicting whether modifications in peptides or polypeptides such as tumor-associated neoantigens are immunogenic or not. The methods of the invention are useful, in particular, for the provision of vaccines which are specific for a patient's tumor and thus, in the context of personalized cancer vaccines.
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