[drb493]

The distributed compute part of the project has turned off but data analysis continues.

I know what you mean these types of projects inspired me to contribute as a young citizen scientist.

A different domain, but https://foldingathome.org/ is still running. Using distributed compute to study protein folding.

[washedDeveloper]

If you are looking for a good list of these types of projects: https://boinc.berkeley.edu/projects.php

[alexpotato]

Wasn't this largely solved by DeepMind's AlphaFold?

https://alphafold.ebi.ac.uk/

[drb493]

I'd discourage claiming any biological process is "solved."

But to your point: No--AlphaFold is an amazing machine learning approach to predicting protein structure but Folding@Home is still immensely useful for simulating how proteins fold up over a timescale. They are/will be complimentary methods.

https://pmc.ncbi.nlm.nih.gov/articles/PMC11892350/

[dekhn]

no, alphafold is basically just a static structure predictor. folding@home explicitly models the folding process (the journey, not just the destination).