![[identity profile]](https://www.dreamwidth.org/img/silk/identity/openid.png) pseudomonas.livejournal.com |
Fri 2008-04-18 10:00 |
Devising protein structure prediction methods comes to mind. The problem is, there's only finite training/evaluation data; I have no idea how one would avoid hideous overfitting if performing an infinite number of trials. This is probably a problem with any machine-learning type problem.
I don't know if there are existing molecular dynamics sims that would give good answers given enough cycles (![[livejournal.com profile]](https://www.dreamwidth.org/img/external/lj-userinfo.gif) fivemack?); if so then one could generate one's own training data (and get structures for all known sequences while we're at it). |
|
![[personal profile]](https://www.dreamwidth.org/img/silk/identity/user.png){kind=small}