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Improved pan-specific MHC class I peptide binding predictions using a novel representation of the MHC binding cleft environment
(Wiley, 2014-02)
Major histocompatibility complex (MHC) molecules play a key role in cell-mediated immune responses presenting bounded peptides for recognition by the immune system cells. Several in silico methods have been developed to ...
Improved pan-specific MHC class I peptide-binding predictions using a novel representation of the MHC-binding cleft environment
(Wiley, 2014)
Major histocompatibility complex (MHC) molecules play a key role in cell-mediated immune responses presenting bounded peptides for recognition by the immune system cells. Several in silico Methods: have been developed to ...
NetTepi: an integrated method for the prediction of T-cell epitopes
(Springer Verlag Berlín, 2014-08)
Multiple factors determine the ability of a peptide to elicit a cytotoxic T cell lymphocyte response. Binding to a major histocompatibility complex class I (MHC-I) molecule is one of the most essential factors, as no peptide ...
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 ...
Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification
(Springer, 2015-09)
A key event in the generation of a cellular response against malicious organisms through the endocytic pathway is binding of peptidic antigens by major histocompatibility complex class II (MHC class II) molecules. The bound ...
Improved methods for predicting peptide binding affinity to MHC class II molecules
(Wiley Blackwell Publishing, Inc, 2018-07)
Major histocompatibility complex class II (MHC-II) molecules are expressed on the surface of professional antigen-presenting cells where they display peptides to T helper cells, which orchestrate the onset and outcome of ...
Immunoinformatics: Predicting Peptide–MHC Binding
(Annual Review, 2020-07)
Immunoinformatics is a discipline that applies methods of computer science to study and model the immune system. A fundamental question addressed by immunoinformatics is how to understand the rules of antigen presentation ...
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 ...
Uncovering the peptide-binding specificities of HLA-C: a general strategy to determine the specificity of any MHC class I molecule
(Amer Assoc Immunologists, 2014-11)
MHC class I molecules (HLA-I in humans) present peptides derived from endogenous proteins to CTLs. Whereas the peptide-binding specificities of HLA-A and -B molecules have been studied extensively, little is known about ...
MHCcluster, a method for functional clustering of MHC molecules
(Springer, 2013-09)
The identification of peptides binding to major histocompatibility complexes (MHC) is a critical step in the understanding of T cell immune responses. The human MHC genomic region (HLA) is extremely polymorphic comprising ...