Cystic fibrosis is caused by mutations in the CFTR gene, which encodes a protein that normally forms a chloride channel in cell membranes — allowing the regulation of salt and water balance. When CFTR misfolds or malfunctions, the mucus covering lungs, digestive organs, and other tissues becomes abnormally thick, causing progressive organ damage.
The 2012 approval of ivacaftor (Kalydeco) and subsequent CFTR modulators transformed treatment for the ~90% of CF patients who carry the F508del mutation. But over 2,000 CFTR mutations have been identified, and many of the rarer ones are carried by patients who have no approved therapy — often because the patient population for each mutation is too small to justify clinical trial investment.
Distributed computing can model the folding behavior of all 2,000+ CFTR variants — predicting which correctors (compounds that help misfolded CFTR reach the cell surface) and potentiators (compounds that improve channel function once it's there) are likely to work for each mutation. This computational pre-screening dramatically reduces the wet-lab work needed to identify treatments for rare mutations.
Solvexoria's CFTR Protein Folding problem is running 350,000 simulation chunks across the network, modeling how corrector compounds interact with rare CFTR mutation conformations. Results feed directly into an open-access database accessible to CF researchers worldwide.
Help solve CF for the rarest patients. Your compute contributes to an open-access therapy database.
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