| 基于蛋白序列的IDQD算法预测蛋白质相互作用 |
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| 引用本文： | 刘佳,裴智勇,邢永强,蔡禄.基于蛋白序列的IDQD算法预测蛋白质相互作用[J].生物数学学报,2010(3):501-507. |
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| 作者姓名： | 刘佳 裴智勇 邢永强 蔡禄 |
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| 作者单位： | 内蒙古科技大学数理与生物工程学院,内蒙古包头014010 |
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| 基金项目： | 国家自然科学基金资助项目（60761001） |
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| 摘 要： | 基于蛋白质序列组分信息,提出一个离散增量结合二次判别分析法(IDQD)预测蛋白质相互作用的模型,对人类蛋白质相互作用进行预测.自洽检验的识别精度达到75.89%,3-fold交叉检验的敏感性和特异性分别为64.22%和64.68%.结果表明IDQD算法可以用于蛋白质相互作用的预测.
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| 关 键 词： | 蛋白质 相互作用 离散增量 二次判别分析 |
Predicting Protein-Protein Interactions by IDQD Based on Sequence Information |
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| LIU Jia,PEI Zhi-yong,XING Yong-qiang,CAI Lu.Predicting Protein-Protein Interactions by IDQD Based on Sequence Information[J].Journal of Biomathematics,2010(3):501-507. |
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| Authors: | LIU Jia PEI Zhi-yong XING Yong-qiang CAI Lu |
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| Institution: | (School of Mathematics,Physics and biological Engineering,Inner Mongolia University of Science ＆ Technology,Baotou Inner Mongolia 014010 China) |
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| Abstract: | In this work,based on the compositional characteristic of protein sequences, the method of increment of diversity combined with quadratic discriminant analysis was used to predict human protein-protein interactions.The results showed that the prediction accuracy of the self-consistent test is 75.89%and the sensitivity and the specificity of the 3-fold cross-validation test are 64.22%and 64.68%,which indicate that IDQD method is useful in protein-protein interaction prediction. |
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| Keywords: | Protein Interaction Increment of diversity Quadratic discriminant analysis |
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