Abstract
Genistein is a soy metabolite with estrogenic activity that may result in (un)favorable effects on human health. Elucidation of the mechanisms through which food additives such as genistein exert their beneficiary effects is a major challenge for the food industry. A better understanding of the genistein elimination pathway could shed light on such mechanisms. We developed a Petri net model that represents this multi-organ elimination pathway and which assists in the design of future experiments. Using this model we show that metabolic profiles solely measured in venous blood are not sufficient to uniquely parameterize the model. Based on simulations we suggest two solutions that provide better results: parameterize the model using gut epithelium profiles or add additional biological constrains in the model.
| Original language | English |
|---|---|
| Pages (from-to) | 19-27 |
| Number of pages | 9 |
| Journal | Computers in Biology and Medicine |
| Volume | 63 |
| DOIs | |
| Publication status | Published - 1 Aug 2015 |
| Externally published | Yes |
Funding
This research is funded by The Netherlands Bioinformatics Center (NBIC) .
Keywords
- Elimination metabolic pathway
- Experiment design
- Genistein
- Metabolic pathway parameterization
- Petri nets