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Showing 1–3 of 3 results
Advanced filters: Author: Carl Pollis Clear advanced filters

  • Maps of protein-protein interactions (PPIs) help identify new components of pathways, complexes, and processes. In this work, state-of-the-art methods are used to identify binary Drosophila PPIs, generating broadly useful physical and data resources.

    • Hong-Wen Tang
    • Kerstin Spirohn
    • Stephanie E. Mohr
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-16

  • A human binary protein interactome map that includes around 53,000 protein–protein interactions involving more than 8,000 proteins provides a reference for the study of human cellular function in health and disease.

    • Katja Luck
    • Dae-Kyum Kim
    • Michael A. Calderwood
    Research
    Nature
    Volume: 580, P: 402-408

  • Computational protein-protein interaction (PPI) prediction has the potential to complement experimental efforts to map interactomes. Here, the authors show that proteins tend to interact if one is similar to the other’s partners and that PPI prediction based on this principle is highly accurate.

    • István A. Kovács
    • Katja Luck
    • Albert-László Barabási
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-8