中药网络药理学研究中的生物信息学方法

为了更有效地治疗癌症、心血管疾病、免疫系统疾病等复杂疾病，基于分子网络的多靶点药物发现理念逐渐成为一种新的趋势，而中药整体、辨证、协同的用药观再一次引起了药物发现领域的极大兴趣。中药在治疗复杂慢性疾病方面有确切的疗效和较小的毒副作用。中药网络药理学从分子网络调控的水平上阐明中药的作用机制，为多靶点药物发现提供有益的启示和借鉴，并有可能从临床有效的中药反向开发现代多组分、多靶点新药。针对基于生物分子网络的中药药理学研究路线中的4 个步骤，介绍近年来中药网络药理学研究中相关的生物信息学方法。

Bioinformatics Approaches in Research on Network Pharmacology of Traditional Chinese Medicine

In order to treat complex diseases such as cancer, cardiovascular diseases and immune system disorders more effectively, the philosophy of molecular network-based multi-target drug discovery has gradually become a new trend. The holistic and synergetic medication mode of traditional Chinese medicine (TCM) has once again attracted a great interest in the field of drug discovery. TCM has shown exact therapeutic efficacy and low side effects in the treatment of chronic complex diseases. TCM network pharmacology seeks to clarify the action mode of TCM in the context of molecular networks. It may provide useful inspiration for drug discovery and develop the effective multi-component and multi-target drugs from clinically effective TCM along a reverse drug discovery path. Focusing on the four steps for network-based TCM pharmacology study, this review introduced the recent bioinformatics approaches applied in the research field of TCM network pharmacology.