| A Hybrid Ant Colony Optimization for the Prediction of Protein Secondary Structure |
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| 作者姓名： | Chao CHEN Yuan Xin TIAN Xiao Yong ZOU Pei Xiang CAI Jin Yuan MO |
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| 作者单位： | School of Chemistry and Chemical Engineering, Sun Yat-sen University, Guangzhou 510275 |
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| 基金项目： | This work was supported by the National Natural Science Foundation of China （No.20475068） and the Guangdong Provincial Natural Science Foundation （No.031577）. |
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| 摘 要： | Based on the concept of ant colony optimization and the idea of population in genetic algorithm, a novel global optimization algorithm, called the hybrid ant colony optimization （HACO）, is proposed in this paper to tackle continuous-space optimization problems. It was compared with other well-known stochastic methods in the optimization of the benchmark functions and was also used to solve the problem of selecting appropriate dilation efficiently by optimizing the wavelet power spectrum of the hydrophobic sequence of protein, which is the key step on using continuous wavelet transform （CWT） to predict a-helices and connecting peptides.
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| 关 键 词： | 蚁群算法 蛋白质 二级结构 光谱分析 小波变换 缩氨酸 |
| 收稿时间： | 2005-01-17 |
A Hybrid Ant Colony Optimization for the Prediction of Protein Secondary Structure |
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| Chao CHEN Yuan Xin TIAN Xiao Yong ZOU Pei Xiang CAI Jin Yuan MO.A Hybrid Ant Colony Optimization for the Prediction of Protein Secondary Structure[J].Chinese Chemical Letters,2005,16(11):1551-1554. |
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| Authors: | Chao;CHEN;Yuan;Xin;TIAN;Xiao;Yong;ZOU;Pei;Xiang;CAI;Jin;Yuan;MO |
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| Abstract: | |
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| Keywords: | Ant colony algorithm global optimization wavelet power spectrum protein structure prediction |
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