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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
by drb493 7mo ago
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/ https://foldingathome.org/ is still running. Using distributed compute to study protein folding.
- washedDeveloper 7mo agoIf you are looking for a good list of these types of projects: https://boinc.berkeley.edu/projects.php https://boinc.berkeley.edu/projects.php
- alexpotato 7mo agoWasn't this largely solved by DeepMind's AlphaFold? https://alphafold.ebi.ac.uk/ https://alphafold.ebi.ac.uk/
- drb493 7mo agoI'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/ https://pmc.ncbi.nlm.nih.gov/articles/PMC11892350/
- dekhn 7mo agono, alphafold is basically just a static structure predictor. folding@home explicitly models the folding process (the journey, not just the destination).