#62 Steady states of metabolic networks and Dingo with Apostolos Chalkis
Update: 2021-07-28
Description
In this episode, Apostolos Chalkis presents sampling steady
states of metabolic networks as an alternative to the widely used flux balance
analysis (FBA). We also discuss dingo, a
Python package written by Apostolos that employs geometric random walks to
sample steady states. You can see dingo in action
here.
Links:
- Dingo on GitHub
- Searching for COVID-19 treatments using metabolic networks
- Tweag open source fellowships
- This episode was originally published on the Compositional podcast.
If you enjoyed this episode, please consider supporting the podcast on Patreon.
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