What is Folding@Home?

Folding@Home is a distributed computing project developed by Stanford University. The project is desined to use your computer's processing power to research how protiens "fold" and "misfold". When a protien in a cell misfolds, it has the potential of causing cancer and other diseases like Mad Cow and Alzheimers. The goal of the project is to understand how the protiens misfold to cause these diseases. If they can figure out the why and how then they should be able to find a way to prevent it.

How do I install F@H on Linux?

The easiest way to get F@H installed on a linux machine is to use a program called finstall. finstall is a script that helps automate the downloading, installation and configuring of F@H. It'll even setup a multiple core/processor machine if you have it. At the end of the install it creates a startup script and also explains how to install F@H as a service to start when your computer starts. Follow the instructions located here for more information. I also have instructions on how to setup the client manually and create your own startup scripts. Please go here for those instructions.

What is MSU's team number?

MSU is Team 11675. Put 11675 in the Team # field during configuration.

How do I monitor my progress?

This needs to be a seperate page as well. The reason being is that there are several ways to do it. For more information please go here.

Is there some place I can go to get my stats?

There are plenty of sites out there that give stats for Folding@Home. You can go directly to the Folding@Home website and look at your stats, or you can go to the list below for a more in depth look into your stats. I personally use the first one the most, but you can use any that you like.

• http://folding.extremeoverclocking.com Team 11675 Stats
• http://folding.stanford.edu
• http://fahstats.com/

This page isn't complete yet, but I wanted to post it anyway. I'm currently working on some of the other pages associated with this How-to Guide. Plase contact me if you have any questions right now.

Thanks,
Greg