Accurate TCR-pMHC interaction prediction using a BERT-based transfer learning method.
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ABSTRACT:
SUBMITTER: Zhang J
PROVIDER: S-EPMC10783865 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature
Publications
Accurate TCR-pMHC interaction prediction using a BERT-based transfer learning method.
Zhang Jiawei J Ma Wang W Yao Hui H
Briefings in bioinformatics 20231101 1
Accurate prediction of TCR-pMHC binding is important for the development of cancer immunotherapies, especially TCR-based agents. Existing algorithms often experience diminished performance when dealing with unseen epitopes, primarily due to the complexity in TCR-pMHC recognition patterns and the scarcity of available data for training. We have developed a novel deep learning model, 'TCR Antigen Binding Recognition' based on BERT, named as TABR-BERT. Leveraging BERT's potent representation learni ...[more]
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