研究药物不良反应与功能模块间的关系及新药不良反应预测是药学研究的热点问题，也是药物基因组信息学领域具有挑战意义的课题。本项目从系统生物学角度，基于上市药物不良反应数据，药物治疗相关数据，通路数据库等，对不良反应关联风险蛋白进行富集分析得到相应的功能模块（pathway），构建Drug-ADR-Pathway复合网络。对构建的网络进行拓扑性质分析，模块挖掘，从共享通路的相似程度识别联合用药禁忌的药物和伴随发生的不良反应，并对新药的不良反应进行风险预测。基于药物不良反应相关通路的在靶和脱靶状态来分析药物不良反应发生机制，并识别药物不良反应发生机制模式。最后建立实现识别药物与不良反应以及相关风险功能（Pathway）关系的信息学分析平台。预期结果可以为药物研发中新药安全性评价以及临床用药的安全性提供强有力的支撑。

Research of the relationship among drug, ADR (adverse drug reactions) and functional module is the main issue of pharmaceutical field in safty, and it is also the challenge of pharmacogenomics. Based on ADR-related Database, Pathway-related Database and functional annotation database, we construct Drug-ADR-Pathway complex network through enrichment analysis identifying ADR-related Pathways. First, we identify drug combination incompatibilities and accompanying ADRs, and predict new drug's ADRs by analyzing topology characteristics of the complicated network and module mining in different aspects (Drug, ADR, Pathway). Second, based on the coincidence rate of drug's ADR-related Pathways and therapeutic Pathways, we analyze the ADR mechanism and identify pattern of ADR mechanism. Finally, we establish the bioinformatics analysis platform of association research between ADR and functional modules based on the above analyzing process. The platform can be used to predict new drug's ADRs, which is useful in future drug development.