T cell epitope predictions

B Peters, M Nielsen, A Sette - Annual Review of Immunology, 2020 - annualreviews.org
Throughout the body, T cells monitor MHC-bound ligands expressed on the surface of
essentially all cell types. MHC ligands that trigger a T cell immune response are referred to …

Predicting antigen presentation—what could we learn from a million peptides?

D Gfeller, M Bassani-Sternberg - Frontiers in immunology, 2018 - frontiersin.org
Antigen presentation lies at the heart of immune recognition of infected or malignant cells.
For this reason, important efforts have been made to predict which peptides are more likely …

Comprehensive analysis of T cell immunodominance and immunoprevalence of SARS-CoV-2 epitopes in COVID-19 cases

A Tarke, J Sidney, CK Kidd, JM Dan, SI Ramirez… - Cell Reports …, 2021 - cell.com
T cells are involved in control of SARS-CoV-2 infection. To establish the patterns of
immunodominance of different SARS-CoV-2 antigens and precisely measure virus-specific …

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 …

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 …

Robust prediction of HLA class II epitopes by deep motif deconvolution of immunopeptidomes

J Racle, J Michaux, GA Rockinger, M Arnaud… - Nature …, 2019 - nature.com
Predictions of epitopes presented by class II human leukocyte antigen molecules (HLA-II)
have limited accuracy, restricting vaccine and therapy design. Here we combined unbiased …

[HTML][HTML] Defining HLA-II ligand processing and binding rules with mass spectrometry enhances cancer epitope prediction

JG Abelin, D Harjanto, M Malloy, P Suri, T Colson… - Immunity, 2019 - cell.com
Increasing evidence indicates CD4+ T cells can recognize cancer-specific antigens and
control tumor growth. However, it remains difficult to predict the antigens that will be …

[HTML][HTML] Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes

J Racle, P Guillaume, J Schmidt, J Michaux, A Larabi… - Immunity, 2023 - cell.com
CD4+ T cells orchestrate the adaptive immune response against pathogens and cancer by
recognizing epitopes presented on class II major histocompatibility complex (MHC-II) …

Accurate prediction of HLA class II antigen presentation across all loci using tailored data acquisition and refined machine learning

JB Nilsson, S Kaabinejadian, H Yari, MGD Kester… - Science …, 2023 - science.org
Accurate prediction of antigen presentation by human leukocyte antigen (HLA) class II
molecules is crucial for rational development of immunotherapies and vaccines targeting …

Cancer neoantigens: challenges and future directions for prediction, prioritization, and validation

ES Borden, KH Buetow, MA Wilson… - Frontiers in oncology, 2022 - frontiersin.org
Prioritization of immunogenic neoantigens is key to enhancing cancer immunotherapy
through the development of personalized vaccines, adoptive T cell therapy, and the …