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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.

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If you are looking for a good list of these types of projects: https://boinc.berkeley.edu/projects.php
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Wasn't this largely solved by DeepMind's AlphaFold?

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

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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/

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They went into hibernation, in terms of accepting new inputs, several years ago. They had more data than they could handle and switched to just analyzing existing data and final reports.
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