#62 Steady states of metabolic networks and Dingo with Apostolos Chalkis

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.