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Mostrando ítems 11-20 de 308
Improved pan-specific prediction of MHC class I peptide binding using a novel receptor clustering data partitioning strategy
(Wiley Blackwell Publishing, Inc, 2016-12)
Pan-specific prediction of receptor–ligand interaction is conventionally done using machine-learning methods that integrates information about both receptor and ligand primary sequences. To achieve optimal performance using ...
NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data
(Oxford University Press, 2020-07)
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 immune responses. MHC molecules come in ...
Enhancing Mass Spectrometry-Based MHC-I Peptide Identification Through a Targeted Database Search Approach
(Humana Press, 2019-08)
MHC-bound peptide ligands dictate the activation and specificity of CD8+ T- cells-based and thus are important for devising T-cell immunotherapies. In recent times, advances in mass spectrometry (MS) have enabled the precise ...
Pan-specific prediction of peptide-MHC Class I complex stability, a correlate of T cell immunogenicity
(American Association of Immunologists, 2016-07)
Binding of peptides to MHC class I (MHC-I) molecules is the most selective event in the processing and presentation of Ags to CTL, and insights into the mechanisms that govern peptide-MHC-I binding should facilitate our ...
HLA Class II Specificity Assessed by High-Density Peptide Microarray Interactions
(American Association of Immunologists, 2020-06)
The ability to predict and/or identify MHC binding peptides is an essential component of T cell epitope discovery, something that ultimately should benefit the development of vaccines and immunotherapies. In particular, ...
Improved peptide-MHC class II interaction prediction through integration of eluted ligand and peptide affinity data
(Springer, 2019-05)
Major histocompatibility complex (MHC) class II antigen presentation is a key component in eliciting a CD4+ T cell response. Precise prediction of peptide-MHC (pMHC) interactions has thus become a cornerstone in defining ...
Netmhcpan-4.0: Improved peptide-MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data
(American Association of Immunologists, 2017-11)
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 class I molecules. Peptide binding to MHC ...
Machine learning reveals a non‐canonical mode of peptide binding to MHC class II molecules
(Wiley Blackwell Publishing, Inc, 2017-10)
MHC class II molecules play a fundamental role in the cellular immune system: they load short peptide fragments derived from extracellular proteins and present them on the cell surface. It is currently thought that the ...
A combined prediction strategy increases identification of peptides bound with high affinity and stability to porcine MHC class I molecules SLA-1*04:01, SLA-2*04:01, and SLA-3*04:01
(Springer, 2016-02)
Affinity and stability of peptides bound by major histocompatibility complex (MHC) class I molecules are important factors in presentation of peptides to cytotoxic T lymphocytes (CTLs). In silico prediction methods of ...