Describing, understanding and ultimately controlling life's processes
The research group Computational Biology develops computational models that help to obtain qualitative and quantitative knowledge of diseases, biomedical processes and structures. The computational models are developed based on a thorough understanding of molecular modeling methods, data analysis techniques, machine learning, systems biology, and parameter estimation techniques. Next to data obtained through collaborations and partnerships with other university groups, companies and hospitals, within the Synthetic Biology arena data is also achieved by own experiments. Topics of research are, amongst others, biomembranes, protein interactions, complex biochemical networks, and diseases like metabolic syndrome, diabetes mellitus and cancer. The group also puts efforts in enhancing the shift from ‘describing’ life’s processes to ‘understanding’ them and ‘capturing’ them in validated predictive models, and even ‘managing’ or ‘controlling’ them in real life. Research themes of the group are Molecular Simulations, Systems Biology, Synthetic Biology, Bioinformatics and Mathematical Modeling.
Synthetic Biology and DNA Nanotechnology
Using a forward engineering approach to design and control biological systems.
Using mathematical models to enhance understanding and treatment of disease.
Application and development of molecular simulations to elucidate self-assembly and self-organization processes in biologically relevant...
Bioinformatics and Mathematical Modelling
In our Bioinformatics and Mathematical Modelling research we apply methods from computer science and mathematics in medicine and biology.
Meet some of our Researchers
Natal van Riel
Tom de Greef
Our most recent peer reviewed publications
Pathway control in cooperative vs. anti-cooperative supramolecular polymersAngewandte Chemie - International Edition (2019)
Cell-free microcompartmentalised transcription–translation for the prototyping of synthetic communication networksCurrent Opinion in Biotechnology (2019)
Cell-free microcompartmentalised transcription-translation for the prototyping of synthetic communication networksCurrent Opinion in Biotechnology (2019)
Improved quantification of muscle insulin sensitivity using oral glucose tolerance test dataScientific Reports (2019)
Equilibrium model for supramolecular copolymerizationsJournal of Physical Chemistry B (2019)