AIMC Topic: Receptors, Antigen, T-Cell

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Leveraging Artificial Intelligence for Neoantigen Prediction.

Cancer research Jul 2, 2025
Neoantigens represent a class of antigens within tumor microenvironments that arise from diverse somatic mutations and aberrations specific to tumorigenesis, holding substantial promise for advancing tumor immunotherapy. However, only a subset of neo...
Humans Artificial Intelligence Tumor Microenvironment Immunotherapy Antigens, Neoplasm Antigen Presentation Neoplasms Receptors, Antigen, T-Cell
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Phage display enables machine learning discovery of cancer antigen-specific TCRs.

Science advances Jun 13, 2025
T cells targeting epitopes in infectious diseases or cancer play a central role in spontaneous and therapy-induced immune responses. Epitope recognition is mediated by the binding of the T cell receptor (TCR), and TCRs recognizing clinically relevant...
Membrane Proteins Cell Surface Display Techniques Neoplasms Humans Peptide Library Epitopes, T-Lymphocyte Machine Learning Receptors, Antigen, T-Cell Antigens, Neoplasm
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LightCTL: lightweight contrastive TCR-pMHC specificity learning with context-aware prompt.

Briefings in bioinformatics May 1, 2025
Identification of T cell receptor (TCR) specificities for antigens from large-scale single-cell or bulk TCR repertoire data plays a vital role in disease diagnosis and immunotherapy. In silico prediction models have emerged in recent years. However, ...
Humans Machine Learning Receptors, Antigen, T-Cell Protein Binding Computational Biology
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Understanding TCR T cell knockout behavior using interpretable machine learning.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
Genetic perturbation of T cell receptor (TCR) T cells is a promising method to unlock better TCR T cell performance to create more powerful cancer immunotherapies, but understanding the changes to T cell behavior induced by genetic perturbations rema...
Receptors, Antigen, T-Cell Computational Biology T-Lymphocytes Neoplasms CRISPR-Cas Systems Gene Knockout Techniques Neural Networks, Computer Machine Learning Humans
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TPepRet: a deep learning model for characterizing T-cell receptors-antigen binding patterns.

Bioinformatics (Oxford, England) Dec 26, 2024
MOTIVATION: T-cell receptors (TCRs) elicit and mediate the adaptive immune response by recognizing antigenic peptides, a process pivotal for cancer immunotherapy, vaccine design, and autoimmune disease management. Understanding the intricate binding ...
COVID-19 SARS-CoV-2 Deep Learning Receptors, Antigen, T-Cell Peptides Humans Protein Binding Computational Biology
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Predicting adaptive immune receptor specificities by machine learning is a data generation problem.

Cell systems Dec 18, 2024
Determining the specificity of adaptive immune receptors-B cell receptors (BCRs), their secreted form antibodies, and T cell receptors (TCRs)-is critical for understanding immune responses and advancing immunotherapy and drug discovery. Immune recept...
Receptors, Antigen, T-Cell Receptors, Immunologic Machine Learning Adaptive Immunity Humans Receptors, Antigen, B-Cell Animals
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Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning.

Cell systems Dec 18, 2024
The adaptive immune system holds invaluable information on past and present immune responses in the form of B and T cell receptor sequences, but we are limited in our ability to decode this information. Machine learning approaches are under active in...
Receptors, Immunologic Adaptive Immunity Animals Receptors, Antigen, T-Cell Machine Learning Software Humans
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Attention-aware differential learning for predicting peptide-MHC class I binding and T cell receptor recognition.

Briefings in bioinformatics Nov 22, 2024
The identification of neoantigens is crucial for advancing vaccines, diagnostics, and immunotherapies. Despite this importance, a fundamental question remains: how to model the presentation of neoantigens by major histocompatibility complex class I m...
Algorithms Histocompatibility Antigens Class I Humans Peptides Protein Binding Machine Learning Receptors, Antigen, T-Cell Computational Biology
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BertTCR: a Bert-based deep learning framework for predicting cancer-related immune status based on T cell receptor repertoire.

Briefings in bioinformatics Jul 25, 2024
The T cell receptor (TCR) repertoire is pivotal to the human immune system, and understanding its nuances can significantly enhance our ability to forecast cancer-related immune responses. However, existing methods often overlook the intra- and inter...
Receptors, Antigen, T-Cell Computational Biology Humans Deep Learning Neoplasms Thyroid Neoplasms
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The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood.

Cancer research Jun 4, 2024
UNLABELLED: T cells recognize tumor antigens and initiate an anticancer immune response in the very early stages of tumor development, and the antigen specificity of T cells is determined by the T-cell receptor (TCR). Therefore, monitoring changes in...
T-Lymphocytes Deep Learning Early Detection of Cancer Humans Neoplasms Receptors, Antigen, T-Cell Biomarkers, Tumor
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