Multiscale modelling of erythrocytes and mitochondrial membranes
Combining glycoproteomics, lipidomics, proteomics, structural biology, structural mass spectrometry, and integrative AI models to create testable cell membrane models.
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Strategic research environment
Centre for Modelling Life at the Membrane with AI
CEMERAI brings together membrane biology, proteomics, glycoproteomics, lipidomics, structural biology, simulations, and AI to build predictive, multiscale models of cell membranes.
Research focus
- Multiscale modelling of erythrocytes and mitochondrial membranes
- Modelling membrane alterations in response to external stress, drugs, or disease
- Comparative and predictive modelling of diverse cell membranes
- Synthetic protein design for diagnostics and therapeutics
- Generation of predictive AI models to improve drug transport into cells
Scientific themes
The website structure follows the four interconnected themes defined for CEMERAI.
Modelling membrane alterations in response to external stress, drugs, or disease
Identifying plasma membrane and mitochondrial remodelling events during pathological, drug-induced, or stress-induced states.
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Comparative and predictive modelling of diverse cell membranes
Building cross-cell-type models to capture conserved and specialised principles of membrane organisation for diagnostics and rational therapeutic design.
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Synthetic protein design for diagnostics and therapeutics
Using AI tools to develop synthetic binders against key membrane proteins, including glycoproteins with high specificity.
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Generation of predictive AI models to improve drug transport into cells
Here we will develop generative and predictive AI models to improve our understanding of drug transport into cells.
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Consortium
CEMERAI brings together researchers from Stockholm University, the University of Gothenburg, and Umeå University.
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