Biomodelling
Constructing computational models to improve the knowledge of diseases, biomedical processes and structures.
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 mathematical 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 Systems Biology for Oncology research line data is also obtained by own experiments. Topics of research are, amongst others, complex biochemical networks (metabolic networks, signal transduction, gene regulatory networks), precision nutrition 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 lines of the group are: Systems Biology and Metabolic Disease, Systems Biology for Oncology, Immuno Systems Biology and Data Science and Bioinformatics. The research is closely connected to research themes in other groups: Synthetic Biology, Molecular Simulations and Machine Learning for Drug Discovery.
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.
Read moreResearch Lines
Meet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
-
Wouter Ouwerkerk,Joao P. Belo Pereira,Troy Maasland,Johanna E. Emmens,Sylwia M. Figarska,Jasper Tromp,Andrea L. Koekemoer,Christopher P. Nelson,Mintu Nath,Simon P.R. Romaine
Multiomics Analysis Provides Novel Pathways Related to Progression of Heart Failure
Journal of the American College of Cardiology (2023) -
Elisabeth S. van Ede,Jai Scheerhoorn,Friso M.J.F. Schonck,Jonna A. van der Stam,Marc P. Buise,Simon W. Nienhuijs,R. Arthur Bouwman
Lessons Learned from Telemonitoring in an Outpatient Bariatric Surgery Pathway-Secondary Outcomes of a Patient Preference Clinical Trial
Obesity Surgery (2023) -
Vehpi Yildirim,Kasper W. Ter Horst,Pim W. Gilijamse,Dewi van Harskamp,Henk Schierbeek,Hans Jansen,Alinda Schimmel,Max Nieuwdorp,Albert K. Groen,Mireille J. Serlie
Bariatric surgery improves postprandial VLDL kinetics and restores insulin mediated regulation of hepatic VLDL production
JCI Insight (2023) -
Mart W. Bartelds,Óscar García-Blay,Pieter G.A. Verhagen,Elise J. Wubbolts,Bob van Sluijs,Hans A. Heus,Tom F.A. de Greef,Wilhelm T.S. Huck,Maike M.K. Hansen
Noise Minimization in Cell-Free Gene Expression
ACS Synthetic Biology (2023) -
Margot Passier,Maisa N.G. van Genderen,Anniek Zaalberg,Elise M. Bekers,Andries M. Bergman,Wilbert Zwart,Federica Eduati
Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Cancer Research Communications (2023)
Our job opportunities
Building a better future for our global society?
Join our research team and be part of the thriving community at Eindhoven University of Technology.
We currently have several vacancies, so please contact us for more information.
Contact
-
Visiting address
dr. Mila van de BergBuilding 15, Gemini South (room 2.106)Groene Loper5612 AZ EindhovenNetherlands -
Visiting address
Valerie HermansNadia van der VeldenHuijsweg4401CA WetsingeNetherlands -
Secretary
SecretaryZoey Coreth von und zu Coredo und StarkenbergWalsteijnlaan6952ET Boven-Leeuwen