文章基本信息

标题：Protein Structure Prediction Based on Improved Genetic Algorithm
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作者：Jiaxi Liu
期刊名称：International Journal of Environmental Science and Development
印刷版ISSN：2010-0264
出版年度：2020
卷号：11
期号：9
页码：450-454
DOI：10.18178/ijesd.2020.11.9.1289
摘要：Protein Structure Prediction Based on Improved Genetic Algorithm Jiaxi Liu The prediction of protein three-dimensional structure from amino acid sequence has been a challenge problem in bioinformatics, owing to the many potential applications for robust protein structure prediction methods. Protein structure prediction is essential to bioscience, and its research results are important for other research areas. Methods for the prediction an才d design of protein structures have advanced dramatically. The prediction of protein structure based on average hydrophobic values is discussed and an improved genetic algorithm is proposed to solve the optimization problem of hydrophobic protein structure prediction. An adjustment operator is designed with the average hydrophobic value to prevent the overlapping of amino acid positions. Finally, some numerical experiments are conducted to verify the feasibility and effectiveness of the proposed algorithm by comparing with the traditional HNN algorithm.
关键词：Protein structure prediction; genetic algorithm; amino acid hydrophobicity