MARIA-Neural network for accurate prediction of HLA class II antigen presentation | Explore Technologies
Defining HLA-II Ligand Processing and Binding Rules with Mass Spectrometry Enhances Cancer Epitope Prediction - ScienceDirect
Prediction model for peptide-MHC class I binding and performance... | Download Scientific Diagram
DeepNetBim: deep learning model for predicting HLA-epitope interactions based on network analysis by harnessing binding and immunogenicity information | BMC Bioinformatics | Full Text
Deciphering the Structural Enigma of HLA Class-II Binding Peptides for Enhanced Immunoinformatics-based Prediction of Vaccine Epitopes | Journal of Proteome Research
Large-scale characterization of peptide-MHC binding landscapes with structural simulations | PNAS
promiscuous MHC / HLA Binding and T cell epitope prediction method algorithm
Towardmore accurate pan-specific MHC-peptide binding prediction : a review of current methods and tools | Semantic Scholar
Repertoire-scale determination of class II MHC peptide binding via yeast display improves antigen prediction | Nature Communications
Deciphering the Structural Enigma of HLA Class-II Binding Peptides for Enhanced Immunoinformatics-based Prediction of Vaccine Epitopes | Journal of Proteome Research
Bioinformatics and other bits - Using epitopepredict for MHC binding prediction in Python
HLAncPred: Non-classical HLA-binders prediction
In silico design of MHC class I high binding affinity peptides through motifs activation map | BMC Bioinformatics | Full Text
Flexible machine learning prediction of antigen presentation for rare and common HLA-I alleles | bioRxiv
MHC-I Help
Predicting HLA class II antigen presentation through integrated deep learning | Nature Biotechnology
MHC Class II Binding Assays - ProImmune - Mastering Immunity _ MHC pentamers, CD1d tetramers, custom peptide synthesis, immunoassays, T cell epitope discovery, HLA tissue typing, cellular analysis, ligand binding assays, immune response
Prediction of HLA class II-restricted T cell epitopes. A strategy to... | Download Scientific Diagram
Quantitative Predictions of Peptide Binding to Any HLA-DR Molecule of Known Sequence: NetMHCIIpan | PLOS Computational Biology
Improved methods for predicting peptide binding affinity to MHC class II molecules - Jensen - 2018 - Immunology - Wiley Online Library
Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes - ScienceDirect
Combined assessment of MHC binding and antigen abundance improves T cell epitope predictions - ScienceDirect
MHC binding peptides prediction - SB PEPTIDE
