CAJ | 학술논문

网络药理学是建立在疾病-基因-药物的多层次网络基础上，用于从整体上预测药物靶点、提高药物发现效率的新兴学科，其研究理念同中药发挥整体疗效的观点十分相似，使得越来越多的医药研究人员开始寻找中药与网络药理学的结合点，并出现了一系列研究疾病相关基因、预测靶点信息及中药活性成分的方法。本文对网络药理学研究的主要工具与数据库及其应用进行归类总结与介绍，并在此基础上，提出了应用网络药理学进行中药有效成分靶向分离的科学策略，以期提高中药有效成分发现的效率与速率。
망락약이학시건립재질병-기인-약물적다층차망락기출상，용우종정체상예측약물파점、제고약물발현효솔적신흥학과，기연구이념동중약발휘정체료효적관점십분상사，사득월래월다적의약연구인원개시심조중약여망락약이학적결합점，병출현료일계렬연구질병상관기인、예측파점신식급중약활성성분적방법。본문대망락약이학연구적주요공구여수거고급기응용진행귀류총결여개소，병재차기출상，제출료응용망락약이학진행중약유효성분파향분리적과학책략，이기제고중약유효성분발현적효솔여속솔。
Network pharmacology is an emerging discipline based on the Disease-Gene-Drug multilevel network. And it has been used to forecast the drug targets and improve the efficiency of drug discovery. Its research ideas are similar to the overall efficacy of traditional Chinese medicine (TCM), which attracts more and more medical re-searchers to look for the joint point of TCM and network pharmacology. A series of approaches on disease-related genes, predicting the information of target and active ingredients of TCM emerge. In this paper, the network pharma-cology research tools, databases and their applications were summarized and introduced. This paper also proposed scientific strategies to separate active ingredients of TCM using network pharmacology, so as to improve the efficiency and speed of finding active ingredients of TCM.