Protein Fold Prediction Data sets used in the paper

"Multi-class Protein Fold Recognition Using Support Vector Machines and Neural Networks", by Chris Ding and Inna Dubchak

Feature vectors (parameter vectors) computed from sequences:

Fold names, protein names, and their association Sequences for the proteins
(Provided by Hong-bin Shen of Shanghai Jiao Tong Univeristy)

(Only sequences of the proteins of the 27 folds used in the paper are provided. Thera are
311 proteins for the training set; 383 proteins for the testing set)