• Evolution of protein domain architectures in the AI era
    Swedish Research Council (VR) · 2025–

    Structure-aware analysis of domain rearrangements and structural change using AlphaFoldDB, TED, and ECOD.

  • Learning the molecular language of the cell
    Knut and Alice Wallenberg Foundation · 2023–2029

    Deep-learning methods for proteoforms, protein-protein interactions, and large protein complexes.

  • Development of E-science tools to study proteins
    SeRC · 2023–2027

    Method and infrastructure development for computational protein science.

  • CEMERAI
    Strategic research environment · Funded

    Center for Modelling Life at the Membrane with AI, where Arne Elofsson is co-director and co-leads the theme on comparative and predictive modelling of diverse cell membranes.

Themes across the current portfolio

  • large-scale prediction of protein-protein interactions and complexes
  • structure-aware analysis of protein domain evolution
  • membrane protein modelling and topology prediction
  • AI methods for proteoforms, structural biology, and molecular design

Infrastructure and environment

The lab is embedded in Stockholm University and SciLifeLab and uses national computational infrastructure such as Berzelius and NAISS resources. The wider environment also connects to the Stockholm Bioinformatics Center, the Center for Biomembrane Research, and SeRC.