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Showing 1–9 of 9 results
Advanced filters: Author: Kerstin Spirohn 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

  • Comprehensive understanding of the human protein-protein interaction network, aka the human interactome, can provide important insights into the molecular mechanisms of complex biological processes and diseases. Here the authors summarize the community efforts initiated by the International Network Medicine Consortium to benchmark the ability of 26 representative network-based methods to predict protein-protein interactions.

    • Xu-Wen Wang
    • Lorenzo Madeddu
    • Yang-Yu Liu
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14

  • Comprehensive mapping of binary protein-protein interactions requires to combine several complementary assays. Here, the authors show that complete coverage could be reached with a minimal number of assays as long as they explore various experimental conditions.

    • Soon Gang Choi
    • Julien Olivet
    • Yves Jacob
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-13

  • The Impact of Genomic Variation on Function Consortium is combining single-cell mapping, genomic perturbations and predictive modelling to investigate relationships between human genomic variation, genome function and phenotypes and will provide an open resource to the community.

    • Jesse M. Engreitz
    • Heather A. Lawson
    • Ella K. Samer
    Reviews
    Nature
    Volume: 633, P: 47-57