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.

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