T cell epitope predictions
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 …
essentially all cell types. MHC ligands that trigger a T cell immune response are referred to …
The pockets guide to HLA class I molecules
Human leukocyte antigens (HLA) are cell-surface proteins that present peptides to T cells.
These peptides are bound within the peptide binding cleft of HLA, and together as a …
These peptides are bound within the peptide binding cleft of HLA, and together as a …
NetMHCpan, a method for MHC class I binding prediction beyond humans
Binding of peptides to major histocompatibility complex (MHC) molecules is the single most
selective step in the recognition of pathogens by the cellular immune system. The human …
selective step in the recognition of pathogens by the cellular immune system. The human …
A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction
Human leukocyte antigen class I (HLA-I) molecules are encoded by major histocompatibility
complex (MHC) class I loci in humans. The binding and interaction between HLA-I …
complex (MHC) class I loci in humans. The binding and interaction between HLA-I …
NetMHCcons: a consensus method for the major histocompatibility complex class I predictions
A key role in cell-mediated immunity is dedicated to the major histocompatibility complex
(MHC) molecules that bind peptides for presentation on the cell surface. Several in silico …
(MHC) molecules that bind peptides for presentation on the cell surface. Several in silico …
[HTML][HTML] Immunoinformatics and epitope prediction in the age of genomic medicine
L Backert, O Kohlbacher - Genome medicine, 2015 - Springer
Immunoinformatics involves the application of computational methods to immunological
problems. Prediction of B-and T-cell epitopes has long been the focus of immunoinformatics …
problems. Prediction of B-and T-cell epitopes has long been the focus of immunoinformatics …
MHC class II epitope predictive algorithms
Major histocompatibility complex class II (MHC‐II) molecules sample peptides from the
extracellular space, allowing the immune system to detect the presence of foreign microbes …
extracellular space, allowing the immune system to detect the presence of foreign microbes …
The PickPocket method for predicting binding specificities for receptors based on receptor pocket similarities: application to MHC-peptide binding
Motivation: Receptor–ligand interactions play an important role in controlling many
biological systems. One prominent example is the binding of peptides to the major …
biological systems. One prominent example is the binding of peptides to the major …
Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens
The design of new biomolecules able to harness immune mechanisms for the treatment of
diseases is a prime challenge for computational and simulative approaches. For instance, in …
diseases is a prime challenge for computational and simulative approaches. For instance, in …
[HTML][HTML] Evaluation of MHC class I peptide binding prediction servers: applications for vaccine research
Background Protein antigens and their specific epitopes are formulation targets for epitope-
based vaccines. A number of prediction servers are available for identification of peptides …
based vaccines. A number of prediction servers are available for identification of peptides …