The Sugar Spinner

Inspiration

Our model is inspired by the mathematical representation of fundamental biochemical reaction systems.

What it does

It predicts both the concentration and chain length distribution of levan polymers over time.

How we built it

We developed a hybrid modeling approach, utilizing Ordinary Differential Equations (ODEs) to track bulk kinetics and Agent-Based Modeling (ABM) to simulate individual polymer growth.

Challenges we ran into

The primary hurdle was conducting extensive literature research within a tight timeframe to accurately parameterize the specific enzymatic behavior of levansucrase.

Accomplishments that we're proud of

We successfully built and validated complex functional models in under 40 hours.

What we learned

We gained deep technical insights into the unique catalytic mechanisms of levansucrase and the stochastic nature of levan polymerisation.

Content produced

All the content can be found in the GitHub link and is organised and presented in public webpage.

What's next for The Sugar Spinner

We plan to refine the model through automated parameter inference and expand our framework to include Partial Differential Equations (PDEs) to account for spatial diffusion.

Built With

• julia
• python