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Updated: Jun 28, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Using support vector machines for prediction of protein structural classes based on discrete wavelet transform
Jian-Ding Qiu1, San-Hua Luo, Jian-Hua Huang
1Institute for Advanced Study and Department of Chemistry, Nanchang University, Nanchang 330031, People's Republic of China. jdqiu@ncu.edu.cn
Abstract:
The prediction of secondary structure is a fundamental and important component in the analytical study of protein structure and functions. How to improve the predictive accuracy of protein structural classification by effectively incorporating the sequence-order effects is an important and challenging problem. In this study, a new method, in which the support vector machine combines with discrete wavelet transform, is developed to predict the protein structural classes. Its performance is assessed by cross-validation tests. The predicted results show that the proposed approach can remarkably improve the success rates, and might become a useful tool for predicting the other attributes of proteins as well.
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