Accurate TCR-pMHC interaction prediction using a BERT-based transfer learning method
J Zhang, W Ma, H Yao - Briefings in Bioinformatics, 2024 - academic.oup.com
Accurate prediction of TCR-pMHC binding is important for the development of cancer
immunotherapies, especially TCR-based agents. Existing algorithms often experience …
immunotherapies, especially TCR-based agents. Existing algorithms often experience …
Deep learning-based prediction of the T cell receptor–antigen binding specificity
Neoantigens play a key role in the recognition of tumour cells by T cells; however, only a
small proportion of neoantigens truly elicit T-cell responses, and few clues exist as to which …
small proportion of neoantigens truly elicit T-cell responses, and few clues exist as to which …
Deep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cells
G Croce, S Bobisse, DL Moreno, J Schmidt… - Nature …, 2024 - nature.com
T cells have the ability to eliminate infected and cancer cells and play an essential role in
cancer immunotherapy. T cell activation is elicited by the binding of the T cell receptor (TCR) …
cancer immunotherapy. T cell activation is elicited by the binding of the T cell receptor (TCR) …
EPIC-TRACE: predicting TCR binding to unseen epitopes using attention and contextualized embeddings
D Korpela, E Jokinen, A Dumitrescu… - …, 2023 - academic.oup.com
Motivation T cells play an essential role in adaptive immune system to fight pathogens and
cancer but may also give rise to autoimmune diseases. The recognition of a peptide–MHC …
cancer but may also give rise to autoimmune diseases. The recognition of a peptide–MHC …
Predicting TCR-epitope binding specificity using deep metric learning and multimodal learning
Understanding the recognition of specific epitopes by cytotoxic T cells is a central problem in
immunology. Although predicting binding between peptides and the class I Major …
immunology. Although predicting binding between peptides and the class I Major …
Neo-epitope identification by weakly-supervised peptide-TCR binding prediction
The identification of T cell neo-epitopes is fundamental and computational challenging in
tumor immunotherapy study. As the binding of pMHC-T cell receptor (TCR) is the essential …
tumor immunotherapy study. As the binding of pMHC-T cell receptor (TCR) is the essential …
Characterizing the interaction conformation between T-cell receptors and epitopes with deep learning
Computational modelling of the interactions between T-cell receptors (TCRs) and epitopes
is of great importance for immunotherapy and antigen discovery. However, current TCR …
is of great importance for immunotherapy and antigen discovery. However, current TCR …
Determining epitope specificity of T-cell receptors with transformers
AR Khan, MJT Reinders, I Khatri - Bioinformatics, 2023 - academic.oup.com
T-cell receptors (TCRs) on T cells recognize and bind to epitopes presented by the major
histocompatibility complex in case of an infection or cancer. However, the high diversity of …
histocompatibility complex in case of an infection or cancer. However, the high diversity of …
TEPCAM: Prediction of T‐cell receptor–epitope binding specificity via interpretable deep learning
J Chen, B Zhao, S Lin, H Sun, X Mao, M Wang… - Protein …, 2024 - Wiley Online Library
The recognition of T‐cell receptor (TCR) on the surface of T cell to specific epitope
presented by the major histocompatibility complex is the key to trigger the immune response …
presented by the major histocompatibility complex is the key to trigger the immune response …
Methods in T cell biology: 2022
E Aguado, ME Call - Frontiers in Immunology, 2023 - frontiersin.org
T cells are crucial players of immune responses by their ability to specifically recognize
foreign, potentially harmful, antigens. To perform such specific recognition, T cells express at …
foreign, potentially harmful, antigens. To perform such specific recognition, T cells express at …