| 一种基于支持向量机的蛋白质结构域边界预测方法 |
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| 引用本文： | 邹淑雪,黄艳新,李艳文,周春光.一种基于支持向量机的蛋白质结构域边界预测方法[J].吉林大学学报(理学版),2008,46(5):930-934. |
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| 作者姓名： | 邹淑雪 黄艳新 李艳文 周春光 |
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| 作者单位： | 1. 吉林大学 计算机科学与技术学院, 长春 130012; 2. 东北师范大学 计算机学院, 长春 130024 |
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| 摘 要： | 提出一种基于支持向量机学习蛋白质结构域的边界预测方法. 在分析多序列比对结果的基础上, 定义了几种能够直接或间接反映蛋白质结构属性及结构域信息的新方法. 结果表明, 蛋白质序列信息预测边界信号的正确识别率达85%以上, 具有较好的泛化能力.
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| 关 键 词： | 蛋白质结构域 序列 支持向量机 生物信息学 |
| 收稿时间： | 2008-02-29 |
Protein Domains Prediction Method Based on Support Vector Machines |
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| ZOU Shu-xue,HUANG Yan-xin,LI Yan-wen,ZHOU Chun-guang.Protein Domains Prediction Method Based on Support Vector Machines[J].Journal of Jilin University: Sci Ed,2008,46(5):930-934. |
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| Authors: | ZOU Shu-xue HUANG Yan-xin LI Yan-wen ZHOU Chun-guang |
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| Institution: | 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;2. School of Computer Science, Northeast Normal University, Changchun 130024, China |
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| Abstract: | Guessing the boundaries of structural domains has been an important and challenging problem in experiment and computational structural biology.A promising method for detecting the domain structure of a protein from sequence information alone was presented.The method is based on analyzing multiple sequence alignments that are derived from a database search.Multiple measures were defined to quantify the domain information content of each position along the sequence and were combined into a single predictor us... |
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| Keywords: | protein domains sequence support vector machine bioinformatics |
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