计算机与现代化 ›› 2013, Vol. 1 ›› Issue (11): 151-154.doi:

• 应用与开发 • 上一篇    下一篇

一种癌症蛋白质作用网络分析的方法

胡心宇,朱斐
  

  1. 苏州大学计算机科学与技术学院,江苏苏州215006
  • 收稿日期:2013-07-02 修回日期:1900-01-01 出版日期:2013-11-19 发布日期:2013-11-19

A Method of Cancer Proteins Network Analysis

HU Xinyu, ZHU Fei
  

  1. School of Computer Science and Technology, Soochow University, Suzhou 215006, China
  • Received:2013-07-02 Revised:1900-01-01 Online:2013-11-19 Published:2013-11-19

摘要:

摘要:近年来大量的物种全基因组序列被测序出来,使得生物研究进入了后基因组时代,由单个的基因研究转入大规模的蛋白及功能领域的研究。蛋白质之间的相互作用作为最基本内容已经成为了研究的基础和重点。本文提出一种癌症蛋白质作用网络分析方法。本项目主要是开发一个系统,该系统能够从生物文本中提取出蛋白质的相关信息,进行蛋白质功能聚类,并构建蛋白质间相互作用的网络,用以预测癌症。

关键词: 关键词:癌症, 蛋白质, 网络, KEGG, 贝叶斯网络

Abstract:

Abstract: In recent years, a large number of species to be sequenced genome sequence out, that makes biological research into the postgenomic era, by a single largescale genetic research into proteins and functional areas of research. Protein to protein interactions as the basic content has become a research foundation and focus. We propose a role in cancer protein network analysis methods. This project is to develop a system that can extract text from a biological protein associated information, and clustering for protein function and proteinprotein interaction network constructed to predict cancer.

Key words: Key words: cancer, protein, network, KEGG, Bayesian network