Version 1.0
Updated on 5/25/2007

George Karypis

You may want to try our new MONSTER server that besides YASSPP-based secondary structure prediction also provides predictions for other structural and functional properties of a protein's residues.

A name by which you can easily identify this sequence.
The amino acid sequence whose secondary structure will like to predict.
Valid amino acid codes: ARNDCQEGHILKMFPSTWYVBZX.
Spaces in the sequence are not significant.
A valid email address to email back the prediction results.

Training Set Input Coding Scheme PSI-Blast DB
Selects among the different pre-trained YASSPP models. Reasonable defaults have already being selected, but you can always experiment with the different choices.


Karypis G. "YASSPP: Better kernels and coding schemes lead to improvements in SVM-based secondary structure prediction". Proteins: Structure, Function, and Bioinformatics, Vol 64, Issue 3, pp. 575-586, 2006.