遗传 ›› 2007, Vol. 29 ›› Issue (9): 1061-1066.doi: 10.1360/yc-007-1061

• 研究报告 • 上一篇    下一篇

根据蛋白质互作网络预测乳腺癌相关蛋白质的细致功能

王靖1, 李彦辉1, 郭政1, 2 , 朱晶1, 马文财1, 彭春方1, 刘庆1   

  1. 1. 哈尔滨医科大学生物信息学系与生物医药省部共建国家重点实验室培育基地, 哈尔滨 150086; 2. 电子科技大学生命科学与技术学院生物信息学中心, 成都610054

  • 收稿日期:2007-01-29 修回日期:2007-06-05 出版日期:2007-09-10 发布日期:2007-09-10
  • 通讯作者: 郭政

Finding finer functions for proteins related to breast cancer based on protein interaction network

WANG Jing1, LI Yan-Hui1, GUO Zheng1,2, ZHU Jing1, MA Wen-Cai1, PENG Chun-Fang1, LIU Qing1

  

  1. 1. Department of Bioinformatics, Pharmacology and Bio-pharmaceutical Key Laboratory of Heilongjiang Province and State, Harbin Medi-cal University, Harbin 150086, China;
    2. School of Life Science and Bioinformatics Centre, University of Electronic Science and Technology of China, Chengdu 610054, China
  • Received:2007-01-29 Revised:2007-06-05 Online:2007-09-10 Published:2007-09-10
  • Contact: GUO Zheng

摘要:

乳腺癌是最为常见的恶性肿瘤之一。已有的关于乳腺癌相关蛋白质的功能注释比较宽泛, 制约了乳腺癌的后续研究工作。对于已知部分功能的乳腺癌相关蛋白质, 提出了一种结合Gene Ontology功能先验知识和蛋白质互作的方法, 通过构建功能特异的局部相互作用网络来预测乳腺癌相关蛋白质的细致功能。结果显示该方法能够以很高的精确率为乳腺癌相关蛋白质预测更为精细的功能。预测的相关蛋白质的功能对于指导实验研究乳腺癌的分子机制具有重要的价值。

关键词: 预测, 互作网络, Gene Ontology, 蛋白质功能, 乳腺癌

Abstract:

Breast cancer is one of the most common malignant tumours. However, the existing functional knowledge about the proteins related to the breast cancer is too general to promote the following study. To find their finer functions, we suggest using the function-specific interaction sub-networks by integrating the functional knowledge of Gene Ontology and the protein-protein interaction network. The results show that the proposed approach is able to reliably find finer functions for these proteins with high precision. The predicted finer functions are highly valuable for guiding the follow-up wet-lab re-search to study the molecular mechanism of breast cancer.