AIMC Topic: Receptors, Antigen, T-Cell

Clear Filters Showing 41 to 50 of 52 articles

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...
Machine Learning T-Lymphocytes Humans Neural Networks, Computer Computational Biology CRISPR-Cas Systems Gene Knockout Techniques Neoplasms Receptors, Antigen, T-Cell
View on PubMed

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 ...
Computational Biology Receptors, Antigen, T-Cell Protein Binding COVID-19 SARS-CoV-2 Peptides Deep Learning Humans
View on PubMed DOI

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...
Humans Receptors, Antigen, T-Cell Receptors, Immunologic Adaptive Immunity Machine Learning Animals Receptors, Antigen, B-Cell
View on PubMed DOI

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...
Animals Machine Learning Receptors, Antigen, T-Cell Software Receptors, Immunologic Humans Adaptive Immunity
View on PubMed DOI

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...
Histocompatibility Antigens Class I Protein Binding Computational Biology Humans Machine Learning Algorithms Peptides Receptors, Antigen, T-Cell
View on PubMed DOI

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...
Humans Neoplasms Receptors, Antigen, T-Cell Computational Biology Deep Learning Thyroid Neoplasms
View on PubMed DOI

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...
Receptors, Antigen, T-Cell Early Detection of Cancer Neoplasms Deep Learning Biomarkers, Tumor T-Lymphocytes Humans
View on PubMed DOI

TEPCAM: Prediction of T-cell receptor-epitope binding specificity via interpretable deep learning.

Protein science : a publication of the Protein Society Jan 1, 2024
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. Identifying the binding rules of TCR-epitope pair is crucial for develo...
T-Lymphocytes Receptors, Antigen, T-Cell Protein Binding Epitopes, T-Lymphocyte Deep Learning
View on PubMed DOI

MITNet: a fusion transformer and convolutional neural network architecture approach for T-cell epitope prediction.

Briefings in bioinformatics Jul 20, 2023
Classifying epitopes is essential since they can be applied in various fields, including therapeutics, diagnostics and peptide-based vaccines. To determine the epitope or peptide against an antibody, epitope mapping with peptides is the most extensiv...
Amino Acid Sequence Peptides Neural Networks, Computer Receptors, Antigen, T-Cell Epitopes, T-Lymphocyte
View on PubMed DOI

TCRmodel2: high-resolution modeling of T cell receptor recognition using deep learning.

Nucleic acids research Jul 5, 2023
The cellular immune system, which is a critical component of human immunity, uses T cell receptors (TCRs) to recognize antigenic proteins in the form of peptides presented by major histocompatibility complex (MHC) proteins. Accurate definition of the...
Antigens Humans Deep Learning Computer Simulation Receptors, Antigen, T-Cell Peptides
View on PubMed DOI
Popular Topics
Recent Journals