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At INET, we systematically generate molecular interactome maps using our well-established AI-informed and robotics-supported protein-protein interaction pipeline, integrating the latest experimental and theoretical approaches. In general, our high-quality protein-protein interaction maps not only expedite the functional characterization of unknown proteins, including those with potential biotechnological utility but also enable systems-level investigations of genotype-to-phenotype relationships.


  • Systems Biology of Chlamydomonas reinhardtii metabolism
    BMBF eBio-Modul III- junior group funding
  • Extensive signal integration by the phytohormone protein network,
    Altmann et al., Nature, 2020, DOI: 10.1038/s41586-020-2460-0
  • A massively parallel barcoded sequencing pipeline enables the
    generation of the first ORFeome and interactome map for rice
    Wierbowski et al., Proc. Natl. Acad. Sci. U.S.A., 2020, DOI: 10.1073/pnas.1918068117
  • Binary Interactome Models of Inner- Versus Outer-Complexome Organization,
    Lambourne et al., bioRxiv, 2021, 03.16.435663
  • DFG: Excitation-transcription coupling alters activity of nociceptive neurons

  • Ratajczak F, Joblin M, Hildebrandt M, Ringsquandl M, Falter-Braun P*, Heinig M*, Speos: An ensemble graph representation learning framework to predict core genes for complex diseases, Nat. Commun. 2023 Nov 08, doi 10.1038/s41467-023-42975-z