AIMC Topic: Receptors, Antigen, T-Cell

Clear Filters Showing 31 to 40 of 52 articles

Applications of Machine and Deep Learning in Adaptive Immunity.

Annual review of chemical and biomolecular engineering Apr 14, 2021
Adaptive immunity is mediated by lymphocyte B and T cells, which respectively express a vast and diverse repertoire of B cell and T cell receptors and, in conjunction with peptide antigen presentation through major histocompatibility complexes (MHCs)...
Receptors, Antigen, T-Cell Adaptive Immunity T-Lymphocytes Deep Learning
View on PubMed DOI

DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires.

Nature communications Mar 11, 2021
Deep learning algorithms have been utilized to achieve enhanced performance in pattern-recognition tasks. The ability to learn complex patterns in data has tremendous implications in immunogenomics. T-cell receptor (TCR) sequencing assesses the diver...
High-Throughput Nucleotide Sequencing Deep Learning RNA-Seq Receptors, Antigen, T-Cell Mice Databases, Genetic Amino Acid Sequence Algorithms Animals T-Lymphocytes Humans Neural Networks, Computer
View on PubMed DOI

Use of machine learning to identify a T cell response to SARS-CoV-2.

Cell reports. Medicine Jan 16, 2021
The identification of SARS-CoV-2-specific T cell receptor (TCR) sequences is critical for understanding T cell responses to SARS-CoV-2. Accordingly, we reanalyze publicly available data from SARS-CoV-2-recovered patients who had low-severity disease ...
Humans Cluster Analysis T-Lymphocytes High-Throughput Nucleotide Sequencing Principal Component Analysis Machine Learning Complementarity Determining Regions Receptors, Antigen, T-Cell Amino Acid Sequence Receptors, Antigen, B-Cell COVID-19 Sequence Analysis, DNA SARS-CoV-2
View on PubMed DOI

Prediction of Specific TCR-Peptide Binding From Large Dictionaries of TCR-Peptide Pairs.

Frontiers in immunology Aug 25, 2020
Current sequencing methods allow for detailed samples of T cell receptors (TCR) repertoires. To determine from a repertoire whether its host had been exposed to a target, computational tools that predict TCR-epitope binding are required. Currents too...
Binding Sites Protein Interaction Domains and Motifs Ligands Antigens Software T-Lymphocytes Epitopes, T-Lymphocyte Protein Binding Humans Peptides Signal Transduction Deep Learning Databases, Protein Receptors, Antigen, T-Cell
View on PubMed DOI

Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data.

Genome biology Aug 3, 2020
BACKGROUND: Deep learning has emerged as a versatile approach for predicting complex biological phenomena. However, its utility for biological discovery has so far been limited, given that generic deep neural networks provide little insight into the ...
Deep Learning Single-Cell Analysis Receptors, Antigen, T-Cell Sequence Analysis, RNA Signal Transduction Humans
View on PubMed DOI

Quantitative Prediction of the Landscape of T Cell Epitope Immunogenicity in Sequence Space.

Frontiers in immunology Apr 16, 2019
Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical element of successful vaccines and targeted immunotherapies. However, the underlying principles of this "convergence" of adaptive immunity among different...
Antigen Presentation Immunodominant Epitopes Receptors, Antigen, T-Cell Computer Simulation Computational Biology Humans Adaptive Immunity Datasets as Topic T-Lymphocytes Machine Learning Thermodynamics Epitopes, T-Lymphocyte Major Histocompatibility Complex
View on PubMed DOI

Multi-positive contrastive learning-based cross-attention model for T cell receptor-antigen binding prediction.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVE: T cells play a vital role in the immune system by recognizing and eliminating infected or cancerous cells, thus driving adaptive immune responses. Their activation is triggered by the binding of T cell receptors (TCRs) to ep...
Humans Machine Learning Major Histocompatibility Complex Receptors, Antigen, T-Cell Protein Binding Algorithms Computational Biology T-Lymphocytes Peptides
View on PubMed DOI

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 Immunotherapy Antigens, Neoplasm Antigen Presentation Tumor Microenvironment Neoplasms Receptors, Antigen, T-Cell
View on PubMed DOI

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...
Cell Surface Display Techniques Peptide Library Antigens, Neoplasm Humans Membrane Proteins Machine Learning Neoplasms Epitopes, T-Lymphocyte Receptors, Antigen, T-Cell
View on PubMed DOI

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 Computational Biology Machine Learning Receptors, Antigen, T-Cell Protein Binding
View on PubMed DOI
Popular Topics
Recent Journals