Folding@Home, Beginner's Guide To Folding
Contents
Start Curing Disease,
You Can Help By Simply Running A Piece Of Software.
What is Folding@Home?
The Basics
Folding@home studies protein folding and misfolding. Proteins are biology's workhorses. 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, is still a mystery.
When proteins do not fold correctly (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.
Folding@home is run by an academic institution (specifically the Pande Group, at Stanford University's - Chemistry Department), which is a nonprofit institution dedicated to science research and education.

Active CPU's in the Folding@Home Network
How Can I Participate?
How To Help The Cause
Simply download the folding@home software and run it on your PC. It runs in the background and only uses spare memory. It will not slow down your computer. If your someone that leaves your computer on alot you can choose to run Folding@Home as your screensaver.
How Am I Helping Cure Disease?
How The Software Works
The Folding@home client connects to a server to retrieve "work units", which are packets of data upon which to perform calculations. Each completed work unit is then sent back to the server.
So Why Not Just Use A SuperComputer?
Modern supercomputers are essentially clusters of hundreds of processors linked by fast networking. The speed of these processors is comparable to (and often slower than) those found in PCs! Thus, if an algorithm does not need the fast networking, it will run just as fast on a supercluster as a supercomputer. However, our application needs not the hundreds of processors found in modern supercomputers, but hundreds of thousands of processors. Hence, the calculations performed on Folding@home would not be possible by any other means. Even if we were given exclusive access to all of the supercomputers in the world, we would still have fewer computing cycles than we do with the Folding@home cluster. This is possible since PC processors are now very fast and there are hundreds of millions of PCs sitting idle in the world.
The Science Behind Folding@Home
How 'Folding' Can Cure Disease

What Are Proteins?
Proteins are necklaces of amino acids --- long chain molecules. Proteins are the basis of how biology gets things done. As enzymes, they are the driving force behind all of the biochemical reactions which make biology work. As structural elements, they are the main constituent of our bones, muscles, hair, skin and blood vessels. As antibodies, they recognize invading elements and allow the immune system to get rid of the unwanted invaders. For these reasons, scientists have sequenced the human genome -- the blueprint for all of the proteins in biology -- but how can we understand what these proteins do and how they work?
Why Do Proteins Fold?
However, only knowing this sequence tells us little about what the protein does and how it does it. In order to carry out their function (eg as enzymes or antibodies), they must take on a particular shape, also known as a "fold." Thus, proteins are truly amazing machines: before they do their work, they assemble themselves! This self-assembly is called "folding." One of our project goals is to simulate protein folding in order to understand how proteins fold so quickly and reliably, and to learn about what happens when this process goes awry (when proteins misfold).
Protein Folding and Disease: BSE (Mad Cow), Alzheimer's, Huntington's and More
What happens if proteins don't fold correctly? Diseases such as Alzheimer's disease, cystic fibrosis, BSE (Mad Cow disease), an inherited form of emphysema, and even many cancers are believed to result from protein misfolding. When proteins misfold, they can clump together ("aggregate"). These clumps can often gather in the brain, where they are believed to cause the symptoms of Mad Cow or Alzheimer's disease.
Why is protein folding so difficult to understand?
It's amazing that not only do proteins self-assemble -- fold -- but they do so amazingly quickly: some as fast as a millionth of a second. While this time is very fast on a person's timescale, it's remarkably long for computers to simulate. In fact, it takes about a day to simulate a nanosecond (1/1,000,000,000 of a second). Unfortunately, proteins fold on the tens of microsecond timescale (10,000 nanoseconds). Thus, it would take 10,000 CPU days to simulate folding -- i.e. it would take 30 CPU years! That's a long time to wait for one result!
Why Study, Simulate and Use Folding@Home.
A Video On The Science of Folding
Stats, Teams & Competitions
To Make A Good Cause Even More Fun
To join a team, simply enter the team ID when you run Folding@Home.
Join The Squidoo Team
Join The Squidoo Folding@Home Team!
Team ID: #157066
Folding@Home Awards
Awards Folding@Home Has Received
- October 2008: Folding@Home researcher Relly Brandman wins the best talk award at BCATS 2008 for her work on the ribosome. BCATS is Bay Area wide symposium on Biomedical computation, including a very wide area ranging from the molecular scale to whole organisms. Relly presented her work on simulations of the ribosome, which has become a major focus for Folding@home and the Pande Lab. These have been submitted for peer reviewed publication, following Paula Petrone's ribosome recent work which has been published in PNAS. This is the fourth best talk award at BCATS for Folding@Home in the seven year history of BCATS.
- January 2008: Folding@home and its Director Prof. Vijay Pande is named a Netxplorateur of 2008. From their web site: Using "The world's largest supercomputer" according to the Guinness Book of Records, F@H seeks to analyze and understand protein folding (assembly), a little understood process that is fundamental to virtually all of biology. Hundreds of thousands of Sony PlayStation3's were added in 2007 to the distributed network run by Stanford University.
- September 2007: Guinness World Record. From their award: On 16 September 2007, Folding@home, a distributed computing network operating from Stanford University (USA) achieved a computing power of 1 petaflop -- or 1 quadrillion floating point operations per second. The project uses the power of peoples' home computers, as well as their PlayStation3s, to simulate the processes inside living cells that can lead to diseases, such as Alzheimer's Disease.
- June 2006: Folding@home Principle Investigator Vijay Pande wins the Irving Sigal Young Investigator Award from the Protein Society. From their web site: "The Irving Sigal Young Investigator Award, sponsored by Merck Research Laboratories, recognizes a significant contribution to the study of proteins by a scientist who is in the early stages of an independent career and, generally, not more than 40 years of age at the time of the award. The 2006 awardee is Dr. Vijay Pande (Stanford University) for his unique approach to employing advances in algorithms that make optimal use of distributed computing, which places his efforts at the cutting edge of simulations. The results have stimulated a re-examination of the meaning of both ensemble and single-molecule measurements, making Dr. Pande's efforts pioneering contributions to simulation methodology."

Alzheimer's Disease (AD), How many Americans Over 65 Are Affected
Recent Research Papers from Folding@Home
Completed Research So Far
- Accelerating Molecular Dynamic Simulation on the Cell processor and PlayStation 3:
In this paper, we detail how we were able to get great speed increases for Folding@home (and actually certain molecular dynamics calculations in general) on the PS3. This is our first paper using the PS3, laying out the "how does it work," with a follow up paper in the works describing the results obtained in FAH from PS3 clients. It is also worth noting that this paper is a collaboration between FAH team members (Luttmann, Ensign, Vaidyanathan, Houston [now at AMD], Jayachandran, Friedrichs, and Pande) with developers at Sony (Rimon and Øland and their coworkers). - Side-chain recognition and gating in the ribosome exit tunnel:
The ribosome is a fascinating molecular machine, responsible for the synthesis of proteins. For this reason it is of fundamental importance to protein folding (as the last step in the central dogma of biology) as well as to human health (since the ribosome is the target of a very large fraction of antibiotics). One of the questions revolving around ribosome function is why is there a large tunnel inside the ribosome, through which proteins exit after being synthesized. In this paper, we used "bigWU" classic clients (clients which allow larger systems to run) since the ribosome is so huge that it would not run on regular classic clients. The primary goal of this paper was to analyze the surface of the ribosome tunnel. Understanding the nature of this surface would be useful for both understanding the fundamental nature of protein synthesis as well as how key antibiotics interact with the ribosome. An interesting related discovery was the identification of a potential "ribosome gate" which can open and close selectively, based on what is interacting with the gate. This suggests novel hypotheses for several aspects of ribosome function as well as interesting new directions for work on studying the ribosome and for new routes for antibiotics. - Simulating oligomerization at experimental concentrations and long timescales: A Markov state model approach:
Abeta misfolding and aggregation is believed to be the cause of Alzheimer's Disease. Simulations, like Folding@home, are a natural way to understand this process. However, there are several key challenges for simulating the key step -- oligomerization. This work represents a new way to simulate Abeta oligomerization, with a key advance of being able to simulate experimentally relevant timescales and concentrations, using a novel method. We use this new method and the power provided by Folding@home donors to simulate oligomerization in all-atom detail. This has lead to specific predictions about the process, which we are now testing experimentally. In many ways, this paper is the "tip of the iceberg" for the Folding@home activities in AD, with a lot more interesting results to come, especially in terms of experimental tests of our predictions and interesting new possibilities for new drugs and AD therapeutics.
This work ran exclusively on classic clients. For the follow up simulations, we are using a mixture of GPU, SMP, and classic clients. Due to the large number of classic clients, they allow us to calculations not possible on the other platforms. However, the raw speed (but smaller number) of the GPU and SMP clients allow us to get a good rough idea quickly, refining later with classic clients.
More Info
For the full list of Diseases currently being studied, check out The Disease FAQ
Still got more questions? Try The Official FAQ
Or take a look at the Folding@Home Forums
Your Thoughts on Folding@Home
Are You Going To Use Folding@Home? What's Your Username? Know Somebody With A Listed Disease? Let Us Know!
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- JenOfChicago JenOfChicago Feb 18, 2009 @ 10:32 am
- Very interesting concept, I will check it out!
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- mianghuei mianghuei Jan 20, 2009 @ 4:37 am
- Ah.. this is one of those distributed networks. Help the world and contribute to the world man.....
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- Pascal Pascal Jan 19, 2009 @ 12:48 pm
- I wonder if they already designed medicine based on the results of this system.
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- daninozz daninozz Jan 11, 2009 @ 8:27 pm
- this is a great guide and i will definately start using this program








