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Real-time protein dynamics
- Observe protein folding and misfolding as dynamic processes in living systems
- Capture transient intermediates that determine function and failure
- Resolve folding pathways with single-molecule precision
Our Mission
To measure, model, and predict
protein folding dynamics in health and disease.
The Scientific Problem
Why static snapshots
aren't enough
- Most structural methods provide only static snapshots — missing the dynamic reality of folding.
- Protein folding is a dynamic, non-linear process involving transient intermediates, molecular chaperones, and complex cellular environments.
- We lack predictive models linking folding pathways to specific pathologies. To predict and prevent misfolding, we must observe it in real time and in living systems.
Core Objectives
Five aims of our research agenda
⚙️
Integrated experimental technologies
- Combine force spectroscopy, advanced microscopy, and photonics
- Link complementary methods into a unified experimental platform
- Enable multiscale measurements from molecules to cells
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Predictive AI and simulations
- Develop AI models that learn directly from experimental data
- Predict folding pathways, misfolding events, and failure points
- Integrate simulations with real-time measurements for validation
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Link Folding to Disease
- Connect molecular folding dynamics to disease-related processes
- Identify biomarkers linked to protein misfolding
- Translate fundamental insights into clinical and biomedical applications
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National coordination and global leadership
- Align Swedish expertise, infrastructure, and training efforts
- Build a shared national roadmap for protein folding research
- Position Sweden as an international leader in dynamic protein science