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Bioinformatics techniques to protein structure prediction mostly depend on the information available in amino acid sequence. Support vector machines (SVM) have shown strong generalization ability in a number of application areas, including protein structure prediction. Support vector machines is a good classifier to solve classification problem and the learning results possess stronger robustness. We summarise some of the recent studies adopting this SVM learning machine for prediction structure prediction are the one which used frequent profiles with evolutionary information.