《网络药理学评价方法指南》解读

Interpretation of Network Pharmacology Evaluation Method Guidance

网络药理学是从生物网络的整体角度阐释疾病机制和药物作用机制的一门新兴学科。其研究理念契合了中医药学的整体论思想,中医药领域也率先提出了网络药理学的核心理论——"网络靶标"理论。随着生物医药"大数据"、人工智能时代的到来,网络药理学成为信息科学与医学生命科学交叉创新的一个重要突破口,也成为医药研究从还原论迈向系统论的一个重要标志。目前,网络药理学的理论分析、算法开发等方面得到长足的进步,在传统医学与现代医学领域,特别是中医药学领域,应用日益广泛。但是,由于缺乏规范的技术引领,网络药理学的发展仍面临着诸多挑战,特别在研究的可靠性、规范性以及可验证性等方面还存在很多不足。为了进一步规范和引导网络药理学的研究,近期世界中医药学会联合会发布了国际上第一个专门用于网络药理学评价的标准——《网络药理学评价方法指南》。针对该指南内容,通过分析网络药理学研究过程中的关键影响因素,重点解读该指南相关技术要求的选择策略及其适用性,为从事网络药理学研究或审评人员更好地使用该指南提供参考,以期促进网络药理学研究的良性发展。

Network pharmacology,a new discipline to explain the mechanism of disease and the mechanism of drug action from the perspective of biological network,is well meet the holism of traditional Chinese medicine(TCM),while the core theory of network pharmacology–"network target"theory was also proposed by TCM researchers.With the advent of biomedical"big data"and AI era,network pharmacology has become an important breakthrough in the cross-innovation of information science and medical science,and an important symbol of medical research from reductionism to system theory.Nowadays,network pharmacology has made great progress in theoretical analysis and algorithm development and been widely used in the traditional and modern medical research field,especially for TCM.However,due to the lack of standardized technology guidance,the development of network pharmacology y researches of CNKI and guide the research of network pharmacology,the World Federation of Chinese Medicine Societies recently released the first international standard for the evaluation of network pharmacology-"Network Pharmacology Evaluation Method Guidance".Based on the content of the guideline,this paper analyzes the key influencing factors in the process of network pharmacology research,and mainly interprets the selection strategy and applicability of relevant technical requirements in it,so as to provide reference for researchers or reviewers engaged in network pharmacology and promote the development of network pharmacology research.