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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 ...
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 ...
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 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 ...
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 ...
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 ...
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 ...
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 ...
Identification of the cognate peptide-MHC target of T cell receptors using molecular modeling and force field scoring
(Pergamon-Elsevier Science Ltd, 2018-02)
Interactions of T cell receptors (TCR) to peptides in complex with MHC (p:MHC) are key features that mediate cellular immune responses. While MHC binding is required for a peptide to be presented to T cells, not all MHC ...
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 ...