FightAIDS@Home is the first biomedical distributed
computing project ever launched. It is run by the
Laboratory at The
Scripps Research Institute in La Jolla, California. We provide
free software that you download and install. The software uses your computer's
idle cycles to assist fundamental research in discovering new drugs, building on
our growing knowledge of the structural biology of AIDS. In addition, this
research helps us study the mechanisms of multi-drug-resistance that the "super bugs"
of HIV use to escape the current anti-AIDS drugs. And this research helps us create,
test, refine, and share the tools and protocols that thousands of other labs use
in their research against other diseases.
FightAIDS@Home joined World Community Grid
FightAIDS@Home, which has been run independently by the Olson Laboratory since 2002,
joined the World Community Grid on November 21, 2005.
The World Community Grid is a public distributed-computing infrastructure devoted to running projects
that will benefit humanity.
In September of 2009, FightAIDS@Home received its 100,000th CPU year fromWorld Community Grid! As of November of 2012, FightAIDS@Home has
received over 165,019 CPU years of calculations from World Community Grid!! Thank you all very
much for performing these calculations that help us advance the global struggle against HIV/AIDS!!!
World Community Grid is making technology available only to public and not-for-profit organizations
to use in humanitarian research that might otherwise not be completed due to the high cost of the computer
infrastructure required in the absence of a public grid. IBM Corporation has donated the hardware, software,
technical services and expertise to build the infrastructure for World Community Grid and provides free hosting,
maintenance and support. We are grateful that the World Community Grid has invited FightAIDS@Home to join their effort.
The FightAIDS@Home client that was inherited from Entropia was not ideal for both the FightAIDS@Home members
and the Olson Laboratory. Several features of the Entropia environment were not functional since we took
over Entropia's side of the project, and newer versions of the AutoDock code could not be implemented in the system.
The transition to World Community Grid has improved FightAIDS@Home in important ways.
Members are informed about their contribution to the project,
including the number of job credits they have computed and overall project statistics
3D graphical output shows computational progress
Forums dedicated to the FightAIDS@Home Project allow for discussion and updates
AutoDock and AutoDock Vina is now in an environment to be easily maintained
Linux and Mac OS X-based systems are now supported
WCG has and will continue to help increase awareness of the FightAIDS@Home Project, enabling more
Note that there is more than one humanitarian project running on the World Community Grid.
The default setting for a new member on World Community Grid is to contribute computing power
to all of the projects. You may select to contribute only to FightAIDS@Home by editing your
profile by going to
My Grid on the website for World Community Grid. The My Projects page will allow you to
opt-in and out of projects ( by default, you are opted-in to all current projects).
For more details information about the process see the
how to join page.
Changes to your project selections will take place the next time your computer finishes
its current piece of work and returns the result to World Community Grid.
For descriptions of the experiments we perform
on FightAIDS@Home, please check the
Webinar for World AIDS Day 2012; FightAIDS@Home:
Advancing the discovery of allosteric inhibitors
Results of these FightAIDS@Home experiments, in the form of unprocessed AutoDock dlg files,
are available to the public upon request. For further information, e-mail
Dr. Daniel N. Santiago: dsantiag ]~[ scripps . edu (replace ]~[ with the @ symbol and remove
the spaces). Please include the phrase "FAAH data" in the subject line of your e-mail.
Since the amount of data is on the order of many terabytes, you will need to provide
suitable media (such as external hard drives) for receiving a copy of these results.