Recently a new method called the self-optimized prediction method (SOPM) has been
described to improve the success rate in the prediction of the secondary structure of …

A new method called the self-optimized prediction method (SOPM) has been developed to
improve the success rate in the prediction of the secondary structure of proteins. This new …

MOTIVATION: In many fields of pattern recognition, combination has proved efficient to
increase the generalization performance of individual prediction methods. Numerous …

Background The accuracy of protein secondary structure prediction has steadily improved
over the past 30 years. Now many secondary structure prediction methods routinely achieve …

To improve secondary structure predictions in protein sequences, the information residing in
multiple sequence alignments of substituted but structurally related proteins is exploited. A …

We have developed a hybrid system to predict the secondary structures (α-helix, β-sheet
and coil) of proteins and achieved 66.4% accuracy, with correlation coefficients of C coil …

We have modified and improved the GOR algorithm for the protein secondary structure
prediction by using the evolutionary information provided by multiple sequence alignments …

The accuracy of secondary structure prediction methods has been improved significantly by
the use of aligned protein sequences. The PHD method and the NNSSP method reach 71 to …

An interactive protein secondary structure prediction Internet server is presented. The server
allows a single sequence or multiple alignment to be submitted, and returns predictions from …

An algorithm has been developed to improve the success rate in the prediction of the
secondary structure of proteins by taking into account the predicted class of the proteins …