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    BMCBI
    2007
    99views more  BMCBI 2007»
    Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method
    15 years 3 months ago
    Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method
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    Morten Nielsen, Claus Lundegaard, Ole Lund
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    BMCBI
    2010
    110views more  BMCBI 2010»
    MultiRTA: A simple yet reliable method for predicting peptide binding affinities for multiple class II MHC allotypes
    15 years 3 months ago
    MultiRTA: A simple yet reliable method for predicting peptide binding affinities for multiple class II MHC allotypes
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    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
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    114
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    BMCBI
    2010
    109views more  BMCBI 2010»
    Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model
    15 years 3 months ago
    Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model
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    Background: The binding of peptide fragments of extracellular peptides to class II MHC is a crucial event in the adaptive immune response. Each MHC allotype generally binds a dist...
    Andrew J. Bordner, Hans D. Mittelmann
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    RECOMB
    2005
    Springer
    183views Computational Biology» more  RECOMB 2005»
    Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
    16 years 3 months ago
    Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
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    Many important cellular response mechanisms are activated when a peptide binds to an appropriate receptor. In the immune system, the recognition of pathogen peptides begins when th...
    Chen Yanover, Tomer Hertz
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    149
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    BMCBI
    2006
    111views more  BMCBI 2006»
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
    15 years 3 months ago
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
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    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
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