AIMC Topic: HLA-A2 Antigen

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Machine learning application to predict binding affinity between peptide containing non-canonical amino acids and HLA-A0201.

PloS one Jun 27, 2025
Class Ι major histocompatibility complexes (MHC-Ι), encoded by the highly polymorphic HLA-A, HLA-B, and HLA-C genes in humans, are expressed on all nucleated cells. Both self and foreign proteins are processed to peptides of 8-10 amino acids, loaded ...
Humans Amino Acids Machine Learning HLA-A2 Antigen Protein Binding Peptides
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TransfIGN: A Structure-Based Deep Learning Method for Modeling the Interaction between HLA-A*02:01 and Antigen Peptides.

Journal of chemical information and modeling Jun 26, 2024
The intricate interaction between major histocompatibility complexes (MHCs) and antigen peptides with diverse amino acid sequences plays a pivotal role in immune responses and T cell activity. In recent years, deep learning (DL)-based models have eme...
Protein Conformation Models, Molecular Peptides Protein Binding HLA-A2 Antigen Amino Acid Sequence Humans Deep Learning
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and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.

The Journal of biological chemistry May 23, 2017
Tumor exomes provide comprehensive information on mutated, overexpressed genes and aberrant splicing, which can be exploited for personalized cancer immunotherapy. Of particular interest are mutated tumor antigen T-cell epitopes, because neoepitope-s...
Oligopeptides Immunogenicity, Vaccine Expert Systems Protein Refolding T-Lymphocytes, Cytotoxic Models, Immunological Mice, Transgenic Epitopes Peptide Fragments Protein Stability HLA-A2 Antigen Neoplasm Proteins Mice, Knockout Membrane Proteins Humans Cancer Vaccines Cells, Cultured Computational Biology Vaccines, Synthetic Artificial Intelligence Reproducibility of Results Antigens, Neoplasm Melanoma Animals
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KeBABS: an R package for kernel-based analysis of biological sequences.

Bioinformatics (Oxford, England) Mar 25, 2015
KeBABS provides a powerful, flexible and easy to use framework for KE: rnel- B: ased A: nalysis of B: iological S: equences in R. It includes efficient implementations of the most important sequence kernels, also including variants that allow for tak...
Sequence Analysis, Protein Peptide Fragments Humans HLA-A2 Antigen Support Vector Machine Computer Simulation Artificial Intelligence Algorithms Models, Theoretical Software
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Unsupervised and supervised AI on molecular dynamics simulations reveals complex characteristics of HLA-A2-peptide immunogenicity.

Briefings in bioinformatics Nov 22, 2023
Immunologic recognition of peptide antigens bound to class I major histocompatibility complex (MHC) molecules is essential to both novel immunotherapeutic development and human health at large. Current methods for predicting antigen peptide immunogen...
HLA-A2 Antigen Protein Binding Molecular Dynamics Simulation Artificial Intelligence Peptides Humans Histocompatibility Antigens Class I
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