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Natural sciences
- Bioinformatics data integration and network biology
- Development of bioinformatics software, tools and databases
- Structural bioinformatics and computational proteomics
- Metabolomics
- Proteomics
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Medical and health sciences
- Structural bioinformatics and computational proteomics
- Medical metabolomics
- Bioinformatics of disease
- Medical metabolomics
Proteins are essential molecules in cells, driving most cellular functions, but the complexity of protein regulation through chemical modifications remains largely unexplored.
We will here therefore attempt a comprehensive mapping of the proteome-wide modification landscape according to five core steps:
Continue and expand our AI Tool development to interpret mass spectrometry data in more detail
Open modification searches on very large data sets from the public domain to obtain protein landscapes
Building modification-dependent protein networks from these modification landscapes
Build an AI-based molecular marker discovery tool that can identify disease-related modifications
Utilise all these tools to explore molecular aging, with a focus on metabolome-derived modifciations
By systematically addressing these areas, we will deepen our understanding of the protein modification landscape, paving the way for potential breakthroughs in cell biology and disease treatment alike.