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» Prediction of MHC class I binding peptides, using SVMHC
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BMCBI
2006
111views more  BMCBI 2006»
13 years 5 months ago
PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
Tomer Hertz, Chen Yanover
BMCBI
2010
110views more  BMCBI 2010»
13 years 5 months ago
MultiRTA: A simple yet reliable method for predicting peptide binding affinities for multiple class II MHC allotypes
Background: The binding of peptide fragments of antigens to class II MHC is a crucial step in initiating a helper T cell immune response. The identification of such peptide epitop...
Andrew J. Bordner, Hans D. Mittelmann
BMCBI
2006
148views more  BMCBI 2006»
13 years 5 months ago
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
Background: Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epi...
Jesper Salomon, Darren R. Flower
BMCBI
2010
122views more  BMCBI 2010»
13 years 5 months ago
An automated framework for understanding structural variations in the binding grooves of MHC class II molecules
Background: MHC/HLA class II molecules are important components of the immune system and play a critical role in processes such as phagocytosis. Understanding peptide recognition ...
Kalidas Yeturu, Tapani Utriainen, Graham J. L. Kem...