Network approach for prioritizing drug candidate on gliomas

摘要：

The efficient and quick evaluation system is needed in the high throughout screening of drug candidates for overcomingthe complex disease, but how to prioritize the efficacy of drug candidates remains unclear. We have established a so-called network-based screening for multicomponent synergy (NSMS)method to estimate the multi-component synergy1. In this work, we employ such a network approach and demonstrate its applicability in prioritizing chemicals for the treatment of gliomas, the most common primary tumor of brain coupling with the dysfunction of many signal transduction pathways （Fig. 1).

作者: Lisha Li Ningbo Zhang Shao Li

作者单位: MOE Key Laboratory of Sioinformatics Division, TNLIST/Department of Automation, Tsinghua University, Beijing, China

会议类型: 国际会议

会议名称: The 7th Asia-Pacific Bioinformatics Conference(第七届亚太生物信息学大会)

会议地点: 北京

会议语种:英文

页码: 904

在线出版日期: 2009-01-01（万方平台首次上网日期，不代表论文的发表时间）