I am just going to post what they have on their site so you can all understand what folding@home is all about. You install an app on your pc that uses idle cpu or gpu resources to help understand and ultimately cure several diseases and cancers. I run the GPU version and have been doing it for about 6 months! They keep stats on what you have done also and so I will post Mine then the info on the site.
Donor LucidDream1981
Team Default (includes all those WU returned without valid team number) (0)
Score 419322 (certificate)
Donor Rank 26808 of 1521458
WU 376 (certificate)
Date of last
work unit 2011-02-26 09:08:25
Active clients
(within 50 days) 1
Active clients
(within 7 days) 1
Our goal: to understand protein folding, misfolding, and related diseases
You can help scientists studying these diseases by simply running a piece of software.
Folding@home is a distributed computing project -- people from throughout the world download and run software to band together to make one of the largest supercomputers in the world. Every computer takes the project closer to our goals. Folding@home uses novel computational methods coupled to distributed computing, to simulate problems millions of times more challenging than previously achieved.
Protein folding is linked to disease, such as Alzheimer's, ALS, Huntington's, Parkinson's disease, and many Cancers.
Moreover, when proteins do not fold correctly (i.e. "misfold"), there can be serious consequences, including many well known diseases, such as Alzheimer's, Mad Cow (BSE), CJD, ALS, Huntington's, Parkinson's disease, and many Cancers and cancer-related syndromes.
What is protein folding?
Proteins are biology's workhorses -- its "nanomachines." Before proteins can carry out these important functions, they assemble themselves, or "fold." The process of protein folding, while critical and fundamental to virtually all of biology, in many ways remains a mystery.
What have we done so far?
We have had several successes. You can read about them on our Science page, on our Awards page, or go directly to our Results page.
Want to learn more?
Click on the links on the left for downloads or more information. You can also download our Executive Summary, which is a PDF suitable for distribution. One can also help by donating funds to the project, via Stanford University.
You can also do this as a team and I want to start an eGO team for this! As a team it will just add our team stats together and rank us as a team also!
Donor LucidDream1981
Team Default (includes all those WU returned without valid team number) (0)
Score 419322 (certificate)
Donor Rank 26808 of 1521458
WU 376 (certificate)
Date of last
work unit 2011-02-26 09:08:25
Active clients
(within 50 days) 1
Active clients
(within 7 days) 1
Our goal: to understand protein folding, misfolding, and related diseases
You can help scientists studying these diseases by simply running a piece of software.
Folding@home is a distributed computing project -- people from throughout the world download and run software to band together to make one of the largest supercomputers in the world. Every computer takes the project closer to our goals. Folding@home uses novel computational methods coupled to distributed computing, to simulate problems millions of times more challenging than previously achieved.
Protein folding is linked to disease, such as Alzheimer's, ALS, Huntington's, Parkinson's disease, and many Cancers.
Moreover, when proteins do not fold correctly (i.e. "misfold"), there can be serious consequences, including many well known diseases, such as Alzheimer's, Mad Cow (BSE), CJD, ALS, Huntington's, Parkinson's disease, and many Cancers and cancer-related syndromes.
What is protein folding?
Proteins are biology's workhorses -- its "nanomachines." Before proteins can carry out these important functions, they assemble themselves, or "fold." The process of protein folding, while critical and fundamental to virtually all of biology, in many ways remains a mystery.
What have we done so far?
We have had several successes. You can read about them on our Science page, on our Awards page, or go directly to our Results page.
Want to learn more?
Click on the links on the left for downloads or more information. You can also download our Executive Summary, which is a PDF suitable for distribution. One can also help by donating funds to the project, via Stanford University.
You can also do this as a team and I want to start an eGO team for this! As a team it will just add our team stats together and rank us as a team also!
