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36th position now distributedfolding.org

muttley

Senior member


37th position now distributedfolding.org

way to go team 36 position is going to come quick but 35th position is gona take awhile need to move up over 20+ million structures.

muttley
 
Thats a long way to go but we will take care of it pretty quicky at the rate we are going. After we brindge the gap it looks like we are going to have a passfest.😎 WTG on 36th place guys!

BTW Two more crunchers added today for me although I moved over a 1800+ to clear out my SETI cache and free up some more machines for DF.🙂
 
You are doing great my friends. 🙂

The rest of you...download the client at stanford.folding.edu, you won't be sorry....set on minimal CPU usage, it impacts the other clients to the point where you almost can not notice, and you still rack up points for you TeAm. 🙂

Give it a shot, if you haven't! 🙂

TNOGuy
 
Originally posted by: TNOguy
You are doing great my friends. 🙂

The rest of you...download the client at stanford.folding.edu, you won't be sorry....set on minimal CPU usage, it impacts the other clients to the point where you almost can not notice, and you still rack up points for you TeAm. 🙂

Give it a shot, if you haven't! 🙂

TNOGuy

Actually the client is here. The other one is folding@home, an equally worthy cause. 🙂
 
Originally posted by: Freewolf
If I was to put this on some of my machines along side seti how would it effect seti ?

I've tried it. Seti hogs all the resources and DF gets nothing done.🙁
 
Originally posted by: networkman
Okay, for those of us who are still a bit ignorant.. how does Distributed Folding differ from Folding@Home? 😕

They are two totally different projects.😉

Seriously I think the have the same goals but I'm not really sure.
 
F@H deals with a specific set to work with.

DF approaches from a broad idea to isolate stuff that doesn't work and stuff that has a higher potential to work roughly 5 terra of memory or the size of a persons brain. Trials were going on using small and now larger proteins to target against using now 10 billion structures.

phase 1a:
1ENH: 100%, best RMSD: 3.64 (March 15, 2002)
1PMC: 100%, best RMSD: 3.96 (March 23, 2002)
5PTI: 100%, best RMSD: 5.40 (April 1, 2002)
1VII: 100%, best RMSD: 2.19 (April 8, 2002)
1SHG: 100%, best RMSD: 6.52 (April 15, 2002)

phase 1b:
4ICB: 34.0%, best RMSD: 4.61

CASP5 targets:
T0129: 100%, best pseudo-energy: 42.32 (June 11, 2002)
T0131: 100%, best pseudo-energy: 1.3 (June 18, 2002)
T0135: 100%, best pseudo-energy: 0.70 (June 25, 2002)
T0138: 100%, best pseudo-energy: 0.39 (July 3, 2002)
T0139: 100%, best pseudo-energy: 6.79 (July 9, 2002)
T0148: 100%, best pseudo-energy: 47.79 (July 16, 2002)
T0147N: 100%, best pseudo-energy: 22.35 (July 23, 2002)
T0157: 100%, best pseudo-energy: 54.42 (July 30, 2002)
T0156: 981.8 million, best pseudo-energy: 44.16

Proteins have a vast number of folds, larger than we could hope to compute even with distributed computing. Usually only one fold is found in nature. The Distributed Folding Project aims to test our new protein folding algorithm. We want see if it can reproduce natural protein folds after making extremely large samples of many different folds.

With your help, we will create the largest samples of protein folds ever computed. First we will make 1 Billion (1,000,000,000) folds for 5 small proteins, then we will try 10 Billion (10,000,000,000) for another 10 large proteins. By the end of our first phase, we hope to make over 100 Billion protein folds spanning 15 different proteins.

muttley
 
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