| 基于OET-KNN算法的蛋白质二级结构类型预测 |
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| 引用本文： | 邱望仁,肖绚,林卫中.基于OET-KNN算法的蛋白质二级结构类型预测[J].计算机工程与应用,2008,44(29):204-206. |
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| 作者姓名： | 邱望仁 肖绚 林卫中 |
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| 作者单位： | 景德镇陶瓷学院 信息工程学院，江西 景德镇 333403 |
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| 基金项目： | 国家自然科学基金，江西省自然科学基金，江西省青年科学家(井冈之星)培养计划 |
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| 摘 要： | 蛋白质二级结构类型预测是当今生物信息学研究的热点之一。利用氨基酸数字编码模型将氨基酸序列转换成数字信号，根据LZ复杂度的算法计算了氨基酸的伪氨基酸成分，再对伪氨基酸成分用OET-KNN算法进行分类预测。Jackknife测试结果表明该算法能使得预测成功率有较大的提高。
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| 关 键 词： | 蛋白质 二级结构型预测 K-近邻算法 |
| 收稿时间： | 2008-4-14 |
| 修稿时间： | 2008-7-4
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Protein secondary structural classes prediction based on OET-KNN modeling |
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| QIU Wang-ren,XIAO Xuan,LIN Wei-zhong.Protein secondary structural classes prediction based on OET-KNN modeling[J].Computer Engineering and Applications,2008,44(29):204-206. |
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| Authors: | QIU Wang-ren XIAO Xuan LIN Wei-zhong |
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| Affiliation: | Information Engineering School，Jingdezhen Ceramic Institute，Jingdezhen，Jiangxi 333403，China |
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| Abstract: | Protein secondary structure prediction is the hot of bioinformatics.In this paper, a novel method based on optimal evi-dence-theoretic K nearest neighbor( OET-KNN) algorithm has been introduced, in which, based on encoding the amino acid se-quence into digital signals, the pseudo amino acid composition is incorporated with the complexity through the LZ's algorithm.The result of these pseudo-amino acids shows that the prediction success rate is improved. |
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| Keywords: | protein predict protein secondary structural classes optimal evidence-theoretic K nearest neighbor(OET-KNN) |
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