#62 Steady states of metabolic networks and Dingo with Apostolos Chalkis
Jul 28, 2021•38 min•Ep. 62
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Episode 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.
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