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    BMCBI
    2010
    118views more  BMCBI 2010»
    Computing H/D-Exchange rates of single residues from data of proteolytic fragments
    14 years 9 months ago
    Computing H/D-Exchange rates of single residues from data of proteolytic fragments
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    Background: Protein conformation and protein/protein interaction can be elucidated by solution-phase Hydrogen/ Deuterium exchange (sHDX) coupled to high-resolution mass analysis o...
    Ernst Althaus, Stefan Canzar, Carsten Ehrler, Mark...
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    BMCBI
    2006
    174views more  BMCBI 2006»
    Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
    14 years 9 months ago
    Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
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    Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
    Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...
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    ECAL
    2007
    Springer
    187views Artificial Intelligence» more  ECAL 2007»
    Folding Protein-Like Structures with Open L-Systems
    15 years 3 months ago
    Folding Protein-Like Structures with Open L-Systems
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    Abstract. Proteins, under native conditions, fold to specific 3D structures according to their 1D amino acid sequence, which in turn is defined by the genetic code. The specific...
    Gemma B. Danks, Susan Stepney, Leo S. D. Caves
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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
    14 years 9 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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    BMCBI
    2010
    179views more  BMCBI 2010»
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
    14 years 9 months ago
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
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    Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
    Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
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