[HTML][HTML] NNAlign_MA; MHC peptidome deconvolution for accurate MHC binding motif characterization and improved T-cell epitope predictions

B Alvarez, B Reynisson, C Barra, S Buus… - Molecular & Cellular …, 2019 - ASBMB
The set of peptides presented on a cell's surface by MHC molecules is known as the
immunopeptidome. Current mass spectrometry technologies allow for identification of large …

Improved prediction of MHC II antigen presentation through integration and motif deconvolution of mass spectrometry MHC eluted ligand data

B Reynisson, C Barra, S Kaabinejadian… - Journal of proteome …, 2020 - ACS Publications
Major histocompatibility complex II (MHC II) molecules play a vital role in the onset and
control of cellular immunity. In a highly selective process, MHC II presents peptides derived …

Computational tools for the identification and interpretation of sequence motifs in immunopeptidomes

B Alvarez, C Barra, M Nielsen, M Andreatta - Proteomics, 2018 - Wiley Online Library
Recent advances in proteomics and mass‐spectrometry have widely expanded the
detectable peptide repertoire presented by major histocompatibility complex (MHC) …

[HTML][HTML] NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets

M Nielsen, M Andreatta - Genome medicine, 2016 - Springer
Background Binding of peptides to MHC class I molecules (MHC-I) is essential for antigen
presentation to cytotoxic T-cells. Results Here, we demonstrate how a simple alignment step …

NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand …

B Reynisson, B Alvarez, S Paul, B Peters… - Nucleic acids …, 2020 - academic.oup.com
Major histocompatibility complex (MHC) molecules are expressed on the cell surface, where
they present peptides to T cells, which gives them a key role in the development of T-cell …

NetMHCpan-4.0: improved peptide–MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data

V Jurtz, S Paul, M Andreatta, P Marcatili… - The Journal of …, 2017 - journals.aai.org
Cytotoxic T cells are of central importance in the immune system's response to disease.
They recognize defective cells by binding to peptides presented on the cell surface by MHC …

[HTML][HTML] Accurate MHC motif deconvolution of immunopeptidomics data reveals a significant contribution of DRB3, 4 and 5 to the total DR immunopeptidome

S Kaabinejadian, C Barra, B Alvarez, H Yari… - Frontiers in …, 2022 - frontiersin.org
Mass spectrometry (MS) based immunopeptidomics is used in several biomedical
applications including neo-epitope discovery in oncology, next-generation vaccine …

[PDF][PDF] MHCflurry 2.0: improved pan-allele prediction of MHC class I-presented peptides by incorporating antigen processing

TJ O'Donnell, A Rubinsteyn, U Laserson - Cell systems, 2020 - cell.com
Computational prediction of the peptides presented on major histocompatibility complex
(MHC) class I proteins is an important tool for studying T cell immunity. The data available to …

[HTML][HTML] Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome

KM Boehm, B Bhinder, VJ Raja, N Dephoure… - BMC …, 2019 - Springer
Background To further our understanding of immunopeptidomics, improved tools are
needed to identify peptides presented by major histocompatibility complex class I (MHC-I) …

[HTML][HTML] Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes

W Zhao, X Sher - PLoS computational biology, 2018 - journals.plos.org
A number of machine learning-based predictors have been developed for identifying
immunogenic T-cell epitopes based on major histocompatibility complex (MHC) class I and II …