Meet FAH team member Relly Brandman
Relly Brandman is a graduate student in the Chemical and Systems Biology Department at Stanford. This department was originally called the Molecular Pharmacology Department and it still has a tradition…
Read moreAuthor: Vijay Pande
The ribosome
We’ve been putting a lot of effort into studying the ribosome. The ribosome is particularly important for proteins — it’s where the messenger RNA (mRNA) is converted into proteins, i.e.…
Read moreWhat causes proteins to fold part 1: hydrophobicity
What causes proteins to fold? This is a complex question, but there are some rules of thumb that have been learned especially for how proteins behave in vitro (eg in…
Read moreHow FAH works: Thermodynamic alchemy
One of the remarkable strengths of thermodynamics is that it is in many ways more general than many of the laws of physics. One of the key concepts in thermodynamics…
Read moreWhat can Thermodynamics tell us?
Thermodynamics (and it’s "older brother" statistical mechanics — but I’ll refer to both as Thermodynamics) plays a very important role in what we do. I thought I’d talk a little…
Read moreNanomedicine center
Our lab is part of an NIH roadmap center for Nanomedicine. The basic idea of the nanomedicine roadmap centers is to use nanotechnology and other advances in chemistry, structural biology,…
Read morev6 making good progress
We’re finally set to start rolling out version 6 (v6) of Folding@home. You can download a beta version from our download page. There are several changes to v6, many under…
Read moreHow FAH works: Molecular dynamics
Molecular dynamics (MD) is a major part of FAH. Most (but not all) of the FAH cores are MD engines. The basic idea behind MD is to simulate reality by…
Read moreMeet FAH team member Dan Ensign
Dan Ensign joined the group two years ago and has quickly become a key member of the Folding@home team. Dan’s work centers around one of the core scientific areas in…
Read moreHow FAH works: Folding on streaming processors (GPU's and PS3)
One of the critical issues in computer science right now is the limits to how fast a single CPU can calculate. While Moore’s law is still going strong in a…
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