Ranking potential binding peptides to MHC molecules by a computational threading approach
Y Altuvia, O Schueler, H Margalit - Journal of molecular biology, 1995 - Elsevier
In this paper, an approach developed to address the inverse protein folding problem is
applied to prediction of potential binding peptides to a specific major histocompatibility …
applied to prediction of potential binding peptides to a specific major histocompatibility …
Structure-based prediction of binding peptides to MHC class I molecules: application to a broad range of MHC alleles
Specific binding of antigenic peptides to major histocompatibility complex (MHC) class I
molecules is a prerequisite for their recognition by cytotoxic T-cells. Prediction of MHC …
molecules is a prerequisite for their recognition by cytotoxic T-cells. Prediction of MHC …
A structure-based approach for prediction of MHC-binding peptides
Y Altuvia, H Margalit - Methods, 2004 - Elsevier
Identification of immunodominant peptides is the first step in the rational design of peptide
vaccines aimed at T-cell immunity. The advances in sequencing techniques and the …
vaccines aimed at T-cell immunity. The advances in sequencing techniques and the …
Learning MHC I—peptide binding
Motivation and results: Motivated by the ability of a simple threading approach to predict
MHC I—peptide binding, we developed a new and improved structure-based model for …
MHC I—peptide binding, we developed a new and improved structure-based model for …
Predicting sequences and structures of MHC-binding peptides: a computational combinatorial approach
J Zeng, HR Treutlein, GB Rudy - Journal of computer-aided molecular …, 2001 - Springer
Peptides bound to MHC molecules on the surface of cells convey critical information about
the cellular milieu to immune system T cells. Predicting which peptides can bind an MHC …
the cellular milieu to immune system T cells. Predicting which peptides can bind an MHC …
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
J Salomon, DR Flower - BMC bioinformatics, 2006 - Springer
Background Modelling the interaction between potentially antigenic peptides and Major
Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell …
Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell …
Improving MHC binding peptide prediction by incorporating binding data of auxiliary MHC molecules
Motivation: Various computational methods have been proposed to tackle the problem of
predicting the peptide binding ability for a specific MHC molecule. These methods are based …
predicting the peptide binding ability for a specific MHC molecule. These methods are based …
Derivation of an amino acid similarity matrix for peptide: MHC binding and its application as a Bayesian prior
Background Experts in peptide: MHC binding studies are often able to estimate the impact of
a single residue substitution based on a heuristic understanding of amino acid similarity in …
a single residue substitution based on a heuristic understanding of amino acid similarity in …
A structure-based algorithm to predict potential binding peptides to MHC molecules with hydrophobic binding pockets
Binding of peptides to MHC class I molecules is a prerequisite for their recognition by
cytotoxic T cells. Consequently, identification of peptides that will bind to a given MHC …
cytotoxic T cells. Consequently, identification of peptides that will bind to a given MHC …
Knowledge-based structure prediction of MHC class I bound peptides: a study of 23 complexes
Background: The binding of T-cell antigenic peptides to MHC molecules is a prerequisite for
their immunogenicity. The ability to identify binding peptides based on the protein sequence …
their immunogenicity. The ability to identify binding peptides based on the protein sequence …