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    ENGL
    2008
    121views more  ENGL 2008»
    Prediction of Protein-Protein Interactions Using Pairwise Alignment and Inter-Domain Linker Region
    13 years 4 months ago
    Prediction of Protein-Protein Interactions Using Pairwise Alignment and Inter-Domain Linker Region
    Download  www.engineeringletters.com
    One of the central problems in modern biology is to identify the complete set of interactions among the proteins in a cell. The structural interaction of proteins and their domains...
    Nazar Zaki
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    BMCBI
    2011
    237views Artificial Intelligence» more  BMCBI 2011»
    HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods
    12 years 8 months ago
    HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods
    Download  www.biomedcentral.com
    Background: Although homology-based methods are among the most widely used methods for predicting the structure and function of proteins, the question as to whether interface sequ...
    Li C. Xue, Drena Dobbs, Vasant Honavar
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    RECOMB
    2007
    Springer
    160views Computational Biology» more  RECOMB 2007»
    Pairwise Global Alignment of Protein Interaction Networks by Matching Neighborhood Topology
    14 years 4 months ago
    Pairwise Global Alignment of Protein Interaction Networks by Matching Neighborhood Topology
    Download  web.mit.edu
    We describe an algorithm, IsoRank, for global alignment of two protein-protein interaction (PPI) networks. IsoRank aims to maximize the overall match between the two networks; in c...
    Rohit Singh, Jinbo Xu, Bonnie Berger
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    GCB
    2003
    Springer
    105views Biometrics» more  GCB 2003»
    In silico prediction of UTR repeats using clustered EST data
    13 years 9 months ago
    In silico prediction of UTR repeats using clustered EST data
    Download  www.plant-biotech.net
    Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
    Stefan A. Rensing, Daniel Lang, Ralf Reski
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