Do you have spare CPU cycles and want to help disease research?  Join the blandfill Folding@home team!  Our team number is 223349.

We will love you forever (and possibly give a shout out in future posts)!


From the Folding@home FAQ page:

What is Folding@home? What is protein folding?

Folding@home is a distributed computing project, that very simply stated, studies protein folding and misfolding. Protein folding is explained in more detail in the scientific background section. It also helps us develop drugs to combat disease.

What is distributed computing?

Distributed Computing is a method of computer processing in which different parts of a program, or different portions of data, are processing simultaneously on two or more computers. We are able to use this approach to significantly accelerate our research. Folding@home is one of the largest and most powerful distributed computing networks.


From the Wikipedia page:

Folding@home (FAH or F@h) is a distributed computing project for disease research that simulates protein folding, computational drug design, and other types of molecular dynamics. The project uses the idle processing resources of thousands of personal computers owned by volunteers who have installed the software on their systems. Its primary purpose is to determine the mechanisms of protein folding, which is the process by which proteins reach their final three-dimensional structure, and to examine the causes of protein misfolding. This is of significant academic interest with major implications for medical research into Alzheimer’s disease, Huntington’s disease, and many forms of cancer, among other diseases. To a lesser extent, Folding@home also tries to predict a protein’s final structure and determine how other molecules may interact with it, which has applications in drug design. Folding@home is developed and operated by the Pande laboratory at Stanford University, under the direction of Vijay Pande, and is shared by various scientific institutions and research laboratories across the world.

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