The problem addressed in this research is to evaluate the two protein secondary structure methods (neural networks and support vector machines) and then make a comparison among both the methods. From the experimental results which are obtained from the quantitative comparison of Neural Network and Support Vector Machine for Protein Secondary Structure Prediction we can conclude that, when given...

Predicted or actual protein secondary structure, in addition to amino acid sequence, is often used for fold recognition and function prediction. Different kinds of secondary structure elements could be predicted with different accuracy by different prediction methods and this could affect the fold or function prediction performance. In this study, contribution of amino acid sequence residues be...

Motivation: With the emerging success of protein secondary structure prediction through the applications of various statistical and machine learning techniques, similar techniques have been applied to protein β-turn prediction. In this study, we perform protein β-turn prediction using a k -nearest neighbor method, which is combined with a filter that uses predicted protein secondary structure i...

Protein structure prediction is a great challenge in molecular biophysics and bioinformatics. Most approaches to structure prediction use known structure information from the Protein Data Bank (PDB). In these approaches, it is most crucial to find a homologous protein (template) from the PDB to a query sequence and to align the query sequence to the template sequence. We propose a profile-profi...

The majority of human coding regions have been sequenced and several genome sequencing projects have been completed. With the growth of large-scale sequencing data, an efficient approach to analyze protein is more important. Protein function and structure are foundations for drug design and protein-based product. However, it’s difficult to predict protein function and structure (three-dimension...

PROTEUS2 is a web server designed to support comprehensive protein structure prediction and structure-based annotation. PROTEUS2 accepts either single sequences (for directed studies) or multiple sequences (for whole proteome annotation) and predicts the secondary and, if possible, tertiary structure of the query protein(s). Unlike most other tools or servers, PROTEUS2 bundles signal peptide id...

Protein secondary structure can be used to help determine the tertiary structure via the fold recognition. Predicting the secondary structure from the protein sequence has attracted the attention of many researchers. Support Vector Machine (SVM) is a new learning algorithm based on statistical learning theory that has been successfully applied to the protein secondary structure prediction probl...