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IBM Sponsors Humanitarian Grid Computing Project

BrianWCarver writes "Reuters reports that IBM and top scientific research organizations are joining forces in a humanitarian effort to tap the unused power of millions of computers and help solve complex social problems. Following the example of SETI@home, the project, dubbed The World Community Grid, will seek to tap the vast underutilized power of computers belonging to individuals and businesses worldwide and channel it into selected medical and environmental research programs. The first project to benefit will be Human Proteome Folding, an effort to identify the genetic structure of proteins that can cause diseases. The client is currently available for Windows XP, 2000, ME, and 98."

8 of 181 comments (clear)

  1. Proteomes don't fold by Neil+Blender · · Score: 4, Informative

    Proteins do.

  2. Poor first impression by nanter · · Score: 3, Informative
    Ok, since I've recently rebuilt my Windoze laptop here at work, I figured I'd give it a shot...

    Well, not only do they not support any clients besides Windoze, but if you're operating on any reasonably secured LAN where the firewall doesn't allow you to willy-nilly connect over SSL ports (443) using proprietary protocols (gasp, imagine that), it isn't going to work.

    Not really a great way to get off on the right foot with this effort. Make it impossible to use by the majority of those interested by precluding other OSes and folks on corporate networks without proxies.

    Back to Folding@Home for me!

  3. Re:Forgive my ignorance... by Xeo+024 · · Score: 5, Informative
    That was the first thing that popped into my head, too.

    For those of you who don't know Stanford's project, called Folding@Home, uses computer cycles to observe and find out more about how proteins fold.

    Now how is this really different from IBM's project?

    From IBM's World Community Grid website:

    "However, scientists still do not know the functions of a large fraction of human proteins. With an understanding of how each protein affects human health, scientists can develop new cures for human disease.

    Huge amounts of data exist that can identify the role of individual proteins, but it must be analyzed to be useful. This analysis could take years to complete on super computers. World Community Grid hopes to shrink this time to months. Human Proteome Proteins are long and disordered chains folded into globs. The number of shapes that proteins can fold into is enormous. Searching through all of the possible shapes to identify the correct function of an individual protein is a tremendous challenge.

    The Human Proteome Folding project will provide scientists with data that predicts the shape of a very large number of human proteins. These predictions will give scientists the clues they need to identify the biological functions of individual proteins within the human body. With an understanding of how each protein affects human health, scientists can develop new cures for human diseases such as cancer, HIV/AIDS, SARS, and malaria."

    From Stanford's Folding@Home website:

    "What are proteins and why do they "fold"? Proteins are biology's workhorses -- its "nanomachines." Before proteins can carry out their biochemical function, they remarkably assemble themselves, or "fold." The process of protein folding, while critical and fundamental to virtually all of biology, remains a mystery. Moreover, perhaps not surprisingly, when proteins do not fold correctly (i.e. "misfold"), there can be serious effects, including many well known diseases, such as Alzheimer's, Mad Cow (BSE), CJD, ALS, Huntington's, and Parkinson's disease."

    "What does Folding@Home do? Folding@Home is a distributed computing project which studies protein folding, misfolding, aggregation, and related diseases. We use novel computational methods and large scale distributed computing, to simulate timescales thousands to millions of times longer than previously achieved. This has allowed us to simulate folding for the first time, and to now direct our approach to examine folding related disease."

    They both sound like they're out to accomplish the same exact thing. I could not spot any real differences, anyone care to enlighten us?

  4. BOINC is better by MikeCapone · · Score: 4, Informative

    I'd encourage all of you guys to support BOINC, an open source and multi-platform architecture instead.

  5. Re:Forgive my ignorance... by Anonymous Coward · · Score: 4, Informative

    Each project in this protein folding will give a better understanding of how and why certain thing occur in living thing. The Folding project at Stanford is a general protein folding to find out what angles and other attributes are normal what are abnormal. There is no particular protein structure they are looking at. These proteins could be anything between prions to humans.
    This Human Proteome Protein project is looking at primary human proteins and how they could affect human function.
    My opinion is both are important since each can affect each other for example the SARS which usually start in fowl and then transmit to human to cause SARS.

  6. BOINC (and other project) URL's by carlgt1 · · Score: 4, Informative

    The BOINC open-source distributed computing main page: http://boinc.berkeley.edu

    From there you can see the five projects currently using the BOINC platform (developed by the SETI@Home team)

  7. Re:Forgive my ignorance... by DeepStream · · Score: 5, Informative

    As someone who works in the field of computional biophysics, these are completely different projects. Folding@Home is designed to study the mechanism of protein folding, and uses molecular dynamics as the tool to do this. The goal of the studies is to understand at a basic scientific level just how it is that proteins fold.

    This project is designed to predict the structure of large numbers of proteins for which we know the sequence, but not the structure. The algorithms for predicting protein structure are distinct from molecular dynamics, since the end goal is very different. I believe that the particular method they are using is Rosetta, developed by at the University of Washington, with the the Institute for Systems Biology is affiliated.

    Basically it boils down to the difference between protein folding (which implies studying the mechanism) and protein structure prediction. The second is solvable to reasonable accuracy with modern methods (although not perfect), but not cheap, so a grid computing approach is a nice way to tackle the problem.

    The folding@home problem is MUCH more difficult, needing the distributed computing framework to study the folding of ONE small protein.

  8. Slashdot 'team' built by w98 · · Score: 3, Informative

    In the time it took me to create a Slashdot login to be able to post a message here, 4 other people have already joined the Grid 'team' for Slashdotters. Apparently they're tracking progress and awarding 'points' for tasks completed and our team is ranked 35th overall at last check.

    For those interested, the team name is 'Slashdot Users' and more information can be found here