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| E-SSpred Introduction |
| E-SSpred is a tool for protein secondary structure prediction. E-SSpred that treats the secondary structure as a whole and build models to predict entire secondary structure segments directly by integrating relevant features, which is similar to the approaches widely used in predicting exons and introns of genes from DNA sequences. In E-SSpred, the support vector machine (SVM) method is adopted to model and predict the ends of helices and strands according to the unique residue distributions around them. A simple linear discriminate analysis method is applied to model and predict entire secondary structure segments by integrating end-prediction results, tri-peptide composition and length distribution features of secondary structures, as well as the prediction results of other secondary structure prediction program. |
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| Help |
- FASTA format introduction
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