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计算机工程 ›› 2011, Vol. 37 ›› Issue (9): 184-186,189. doi: 10.3969/j.issn.1000-3428.2011.09.064

• 人工智能及识别技术 • 上一篇    下一篇

基于多级滤波器的蛋白质热点区域预测

刘文远,王东伟,王常武,王宝文   

  1. (燕山大学信息科学与工程学院,河北 秦皇岛 066004)
  • 出版日期:2011-05-05 发布日期:2011-05-12
  • 作者简介:刘文远(1968-),男,教授、博士,主研方向:生物信息学,电子商务;王东伟,硕士;王常武,教授、博士;王宝文, 副教授
  • 基金资助:
    河北省教育厅自然科学研究计划基金资助项目(2009339)

Hot Spots Prediction in Proteins Based on Multi-stage Filter

LIU Wen-yuan, WANG Dong-wei, WANG Chang-wu, WANG Bao-wen   

  1. (College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China)
  • Online:2011-05-05 Published:2011-05-12

摘要: 针对数字滤波技术用于蛋白质热点区域预测时预测结果精度低的问题,提出一种基于多级滤波器的预测方法。依据共振识别模型从一组蛋白质中提取出特征频率,设计一个选通特性良好的多级滤波器对蛋白质序列进行滤波,根据滤波器输出序列的能量谱定位蛋白质的热点区域。实验表明,多级滤波器能提高预测结果的精度。

关键词: 蛋白质, 热点区域, 数字信号处理, 多级滤波器, 共振识别模型

Abstract: Aiming at the low accuracy of digital filter to identify the locations of hot spots in proteins, this paper presents a new technique of using multi-stage filter. The technique selects characteristic frequency from a set of proteins based on resonant recognition model, and designs a special multi-stage filter to process the protein sequence, and then the energy spectrum of the filter output yields the locations of the hot spots in proteins. Experiments show that this filter has higher accuracy.

Key words: protein, hot spots, digital signal process, multi-stage filter, resonant recognition model

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