Projects

Using standard systems biology methodologies a 14-compartment dynamic model was developed for the Corona virus epidemic. The model predicts that: (i) it will be impossible to limit lockdown intensity such that sufficient herd immunity develops for this epidemic to die down, (ii) the death toll from the SARS-CoV-2 virus decreases very strongly with increasing intensity of the lockdown, but (iii) the duration of the epidemic increases at first with that intensity and then decreases again, such that ...

MESI-Review 2024

MESI-STRAT: Systems Medicine of Metabolic-Signaling Networks -A New Concept for Breast Cancer Patient Stratification. Breast cancer is a complex disease with high prevalence in the European Union and world-wide. 75%-80 of the patients have estrogen receptor-positive (ER)-positive tumors and are treated with endocrine therapies. Endocrine therapies, which block ER-driven tumor growth, show high efficacy. Yet, a significant proportion of the patients will eventually relapse with metastatic breast ...

MESI-STRAT Review

Modelling COVID-19 epidemics : the training course organized by ISBE-NL, ELIXIR-LU, and EOSC-Life

We will contribute to the LiSyM Research Network an open source, freely available and reproducible multiscale model of the human liver from single cell metabolism to whole liver function. The model will be available in existing standards of systems biology, provide standardized interfaces for data integration and be fully annotated to available biological, medical and computational ontologies. All data, models and source code will be shared within the LiSyM Research Network and made available to ...

Short-chain fatty-acids (SCFA) are produced from dietary fibres by the intestinal microbiota. They protect humans against obesity. The fate of SCFA and their impact on human fat metabolism is complex and dynamic. To optimally apply prebiotic (fibre) and probiotic (microbial) supplements, a better understanding of their mode of action is required. Our aim is to construct, infer, and analyse a dynamic, multiscale computational model predicting how dietary fibres affect the balance between fat intake ...