Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers
Several accurate prediction systems have been developed for prediction of class I major
histocompatibility complex (MHC): peptide binding. Most of these are trained on binding …
histocompatibility complex (MHC): peptide binding. Most of these are trained on binding …
Examining the independent binding assumption for binding of peptide epitopes to MHC-I molecules
Motivation: Various methods have been proposed to predict the binding affinities of peptides
to Major Histocompatibility Complex class I (MHC-I) molecules based on experimental …
to Major Histocompatibility Complex class I (MHC-I) molecules based on experimental …
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 …
NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8–11
C Lundegaard, K Lamberth, M Harndahl… - Nucleic acids …, 2008 - academic.oup.com
Abstract NetMHC-3.0 is trained on a large number of quantitative peptide data using both
affinity data from the Immune Epitope Database and Analysis Resource (IEDB) and elution …
affinity data from the Immune Epitope Database and Analysis Resource (IEDB) and elution …
Strength in numbers: achieving greater accuracy in MHC-I binding prediction by combining the results from multiple prediction tools
Background Peptides derived from endogenous antigens can bind to MHC class I
molecules. Those which bind with high affinity can invoke a CD8+ immune response …
molecules. Those which bind with high affinity can invoke a CD8+ immune response …
Methods for prediction of peptide binding to MHC molecules: a comparative study
Background A variety of methods for prediction of peptide binding to major histocompatibility
complex (MHC) have been proposed. These methods are based on binding motifs, binding …
complex (MHC) have been proposed. These methods are based on binding motifs, binding …
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 …
Automated benchmarking of peptide-MHC class I binding predictions
Motivation: Numerous in silico methods predicting peptide binding to major
histocompatibility complex (MHC) class I molecules have been developed over the last …
histocompatibility complex (MHC) class I molecules have been developed over the last …
Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models
W Liu, X Meng, Q Xu, DR Flower, T Li - BMC bioinformatics, 2006 - Springer
Background The binding between peptide epitopes and major histocompatibility complex
proteins (MHCs) is an important event in the cellular immune response. Accurate prediction …
proteins (MHCs) is an important event in the cellular immune response. Accurate prediction …
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 …
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