Folding@Home

From CNUpedia, an IEEE Innovation.

Folding@Home is a project hosted at Stanford University to help understand how proteins fold using computer-based simulations. The understanding of proteins and their behavior has broad medical application. For example, when proteins do not fold correctly (perhaps as a result of a genetic disorder) disease results. Insight into pathogens (agents that cause disease) might also be gained through studying the proteins they use. The knowledge gleaned from this project may therefore be useful in treating and curing a host of illnesses.

Contents 1 Mission 2 How you can help 3 Team CNU PCSE 4 Roster

Mission

• To understand protein folding, misfolding, and related diseases. through computer simulation.

How you can help

It is very easy to help, it simply requires a piece of software that you download and run on your computer. The software will fold proteins when your computer is idle, or not in use.

When you first run the software it will ask for a username, put whatever you would like. When it asks for a team enter the number 49643 to join in the CNU PCSE team.

Team CNU PCSE

The team at PCSE and IEEE have established a team to fold. Maybe we can get CNU in the top 100 with everyone's help.

• Team Page

• CNU PCSE team number: 49643

Roster

List everyone on the team and what stats they have

Total Power: 27.64GHz

• PCSE

• Mac Cluster (estimated 75GHz) (still setting up)
• Pentium 4 speed

• Robert Clowser

• 1 Mac Dual Core G5 (64bit 2.0GHz)
• AMD Althon64 2.0 GHz
• Intel P4 2.8 Ghz
• Intel Celeron 1.7 Ghz
• AMD Athlon XP 1800+

• Flow (talk · contribs)

• Dual Athlon MP 1800's
• Pentium 4 2.4GHz
• Pentium-M 2.0GHz
• AMD Athlon XP 1800+

• Sean P. Whitaker

• Pentium 4 3.04GHz

• CNUco2007 (talk · contribs)

• AMD A64 2.4GHz

• Christopher Hewitt

• AMD Sempron64 1.6GHz

• JG (experimental)

• Pentium 4 for 6.0GHZ