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 and Metabolic Disease, Systems Biology for Oncology, Synthetic Biology, Data Science and Bioinformatics.
Research Lines
Meet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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Prognostic Value of Combined Biomarkers in Patients With Heart Failure
Annals of Laboratory Medicine (2023) -
Liquid biopsy-based decision support algorithms for diagnosis and subtyping of lung cancer
Lung Cancer (2023) -
The Accuracy of Wrist-Worn Photoplethysmogram-Measured Heart and Respiratory Rates in Abdominal Surgery Patients
JMIR Perioperative Medicine (2023) -
Precision and accuracy of receptor quantification on synthetic and biological surfaces using DNA-PAINT
ACS Sensors (2023) -
Using Kinetic Modelling to Infer Adaptations in Saccharomyces cerevisiae Carbohydrate Storage Metabolism to Dynamic Substrate Conditions
Metabolites (2023)
Contact
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Visiting address
Building 15, Gemini South (room 2.106)Groene Loper5612 AZ EindhovenNetherlands -
Secretary
Marianne BatailleBME.Seccbioimage@ tue.nl