The GOR method is based on information theory and was developed by
J.Garnier, D.Osguthorpe and B.Robson (J.Mol.Biol. 120,97, 1978). The present
version, GOR IV, uses all possible pair frequencies within a window of 17
amino acid residues and is reported by J. Garnier. J.F. Gibrat and B.Robson
in Methods in Enzymology, vol 266, p 540-553 (1996). After cross validation
on a data base of 267 proteins, the version IV of GOR has a mean accuracy of
64.4% for a three state prediction (Q3). The program gives two outputs,
one eye-friendly giving the sequence and the predicted secondary structure in
rows, H=helix,
E=extended or beta strand and C=coil ;the second output gives the probability
values for each secondary structure at each amino acid position.
The predicted secondary structure is the one of highest probability compatible
with a predicted helix segment of at least four residues and a predicted
extended segment of at least two residues. This program was written by
Jean-Francois Gibrat and was modified by Stephen Pheiffer in order to increase it's
efficiency.