We'd like to announce some new software for assigning secondary
structure which is now available from our webserver.
PsiCSI: Secondary structure from sequence and chemical shifts
PsiCSI uses neural networks to translate chemical shifts to secondary
structure information and combine it with sequence based prediction
algorithms (PsiPred). For a rigorously jack-knifed set of 92 proteins,
PsiCSI made 36% fewer errors than CSI, achieving a sustained 3-state
accuracy of 89%. In addition, because of the sequence based component,
the method remains effective with sparse and incomplete chemical shift
data. A webserver is available at
<http://protinfo.compbio.washington.edu/>
Hong Hung (lhhung at compbio.washington.edu)
