计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 283-287.

• 数据库与数据挖掘 • 上一篇    下一篇

蛋白质亚细胞定位预测中的序列编码技术研究

马军伟,高新中,张 杰   

  1. (山西电力公司电力通信中心 太原030001);(大连理工大学控制科学与工程学院 大连116024);(安徽工业大学数理学院 马鞍山243002)3
  • 出版日期:2018-11-16 发布日期:2018-11-16

Study on the Sequence Encoding Method of Protein Subcellular Location Prediction

  • Online:2018-11-16 Published:2018-11-16

摘要: 随着后基因组时代的来临,蛋白质序列数量增长迅速,利用实验手段分析蛋白质亚细胞定位不易大规模进行。近年来,通过提取蛋白质的各种特征信息(序列编码技术),自动预测蛋白质的亚细胞定位的算法得到了较快的发展。综述了当前已有的序列编码技术成果,并指出了存在的问题及可能的发展方向。

关键词: 氨基酸组成成分, 蛋白质亚细胞定位预测, 功能域组成, 基因本体, 序列编码技术

Abstract: With the advent of the post genome era, the number of protein sequences has grown rapidly. It is difficult to use experimental methods in largcscale analysis of protein subcellular location. In recent years, by using the various features of protein information (the encoding methods) , the algorithms that automatically predict protein subcellular location have been rapidly developed. In this paper, the encoding methods of protein sequence were surnrnarized, and the existing problems of encoding methods and the possible future research were discussed.

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