摘要
靶标识别是现代药物研发中的重要一环,针对具体疾病的靶标识别已经成为疾病新药研发的最重要问题。本文依照网络药理学的思想,采用复杂网络分析方法,构建了人类蛋白质反应网络和表型相似度网络,结合已知心脑血管相关靶标蛋白质,训练得到网络节点分类器,并以此预测新的潜在靶标。同以往的靶标发现方法相比,本文从一个新的角度对靶标识别问题重新建模求解。本文所提出的方法能够有效的预测心脑血管疾病潜在靶标基因,为新药研发提供有力的支撑。
Drug targets discovery is one of the most important elements in new drug development,and a variety of methods have been developed recently from this point of view.This paper proposed a network-based local and global consistency for cardiovascular genes identification.Results were evaluated through the widely used database HPRD and DrugBank.Results showed that our algorithm can give reasonable candidate targets set.The method in this paper could be an impressive solution for targets searching.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2012年第2期130-133,共4页
China Journal of Chinese Materia Medica
基金
国家"重大新药创制"科技重大专项(2009ZX09301-005)
中医药行业科研专项(200907001-5)
中国中医科学院基本科研业务费自主选题项目(Z02063)
关键词
靶标识别
网络药理学
网络节点分类
标签传播
drug targets
network pharmacology
label propagation
local and global consistency
