I'd understood - because we are constantly told by the Folding@Home people - that the problem was getting enough CPU for simulations. Is this not actually true?
The domain of biology that Folding@Home works on, i.e. predictive in silico modeling of protein folding, is microscopic in comparison the everything else biologists study. So while they may need more computing power a lot of biologists simply need more slave labor (grad students) and grant money.
There are lots of problems in computational Biology. Some can be solved by more processing time, for some you need to have better software, and for others more experimental data is necessary.
