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!!! Please use our improved CDM Secondary Structure Prediction Server that also includes GOR V results !!!
GOR V PROTEIN SECONDARY STRUCTURE PREDICTION SERVER
The GOR (Garnier-Osguthorpe-Robson) method uses both information theoryand Bayesian statistics for predicting the secondary structure of proteins.
Over the years, the method has been improved by including larger databases
and more detailed statistics, which account not only for amino acid
composition, but also for amino acid pairs and triplets. The most crucial
change in the algorithm was the inclusion of evolutionary information using
PSI-BLAST (Altschul et al. Nucl. Acids Res. 25, 3389, 1997) to increase the
information content for improved discrimination among secondary structures.
In GOR V, the prediction accuracy Q3 using full-jackknifing reached 73.5%.
References for GOR V:
* Kloczkowski, A., Ting, K.-L, Jernigan, R.L., Garnier, J., "Combining theGOR V algorithm with evolutionary information for protein secondary
structure prediction from amino acid sequence", Proteins, 49, 154-166, 2002. pdf
* Sen, T.Z., Jernigan, R.L., Garnier, J., Kloczkowski, A., "GOR V server for
protein secondary structure prediction", Bioinformatics, 21(11), 2787-2788,
2005. pdf
General References for GOR:
* Garnier, J., Osguthrope, D.J., Robson, B. J. Mol. Bio., 130, 97-120, 1978.* Gibrat, J.F., Garnier, J., Robson, B. J. Mol. Bio., 198, 425-443, 1987.
* Garnier, J., Gibrat, J.F., Robson, B. Methods Enzymol., 266, 540-553, 1996.
* Kloczkowski, A., Ting, K.-L, Jernigan, R.L., Garnier, J. Polymer, 43, 441-449, 2002.