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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
    13 years 4 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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    RECOMB
    2005
    Springer
    183views Computational Biology» more  RECOMB 2005»
    Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
    14 years 5 months ago
    Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
    Download  www.cs.huji.ac.il
    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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    BMCBI
    2010
    127views more  BMCBI 2010»
    PeptideMine - A webserver for the design of peptides for protein-peptide binding studies derived from protein-protein interactom
    13 years 4 months ago
    PeptideMine - A webserver for the design of peptides for protein-peptide binding studies derived from protein-protein interactom
    Download  www.biomedcentral.com
    Background: Signal transduction events often involve transient, yet specific, interactions between structurally conserved protein domains and polypeptide sequences in target prote...
    Khader Shameer, Lalima L. Madan, Shivamurthy Veera...
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