D/C cancer project that run Natively under Ubuntu/Linux

[wpshooter]

Is there any cancer or similar projects that can now be ran natively on a Ubuntu/Linux O/S computer ?

Thanks.

 

[Fardringle]

Rosetta@home (through the BOINC system) works great in Linux. I'm sure there are others that work equally well but I don't really have any experience with them to give you an honest opinion.

 

[TallBill]

Originally posted by: Fardringle
Rosetta@home (through the BOINC system) works great in Linux. I'm sure there are others that work equally well but I don't really have any experience with them to give you an honest opinion.

Does it run better, same, or worse then on windows? When I go to Iraq, I know that my wife will keep running Boinc on her computer, but I'm going to try to convince her to leave mine on, and was thinking about installing ubuntu.

 

[networkman]

Not a cancer project, but the Einstein@Home project is BOINC and does have a Linux client to run natively under Ubuntu - I know because I've used it. However, at the time - roughly 6 months ago, it was significantly slower than the Windows client to the tune of 35 to 40 percent slower. Hopefully, that's been fixed.

 

[Philippart]

World community grid (BOINC version) has a new project: "Help defeat cancer", that one works on Linux

 

[GLeeM]

Folding@Home (F@H) has a great Linux client that can be set to run as a service or as a console.

Some of the WUs are working toward a better understanding of the causes of cancer and toward a cure.

They just recently published their 40th research paper. The 39th was about cancer -

39. A novel approach for computational alanine scanning: application to the p53 oligomerization domain.
L.T. Chong, W. C. Swope, J. W. Pitera, and V. S. Pande.
Journal of Molecular Biology (2006)

SUMMARY: Roughly half of all known cancers involve a mutation in a single protein: p53. P53 serves to protect us from getting cancer; when p53 fails, one often gets cancer. We have developed a new method for predicting how mutations in p53, a protein central to cancer, would impact p53. This new method is naturally suited for distributed computing and can predict several mutations found to date.

See here for some of the most recent news from Stanford's Folding@Home.