Network pharmacology is an interdisciplinary field used to elucidate the molecular networks between diseases and drugs. Its research model,which combines macro and micro perspectives of'multi-component,multi-target,and multi-disease',aligns with the holistic view of traditional Chinese medicine( TCM),thus contributing to the modernization of TCM. However,the development of network pharmacology is currently facing stagnation due to rigid research paths,homogenized research outcomes,varying data quality,and professional barriers in the selection of technical methods. In order to address these challenges,a series of measures need to be taken. Firstly,it is necessary to innovate research paths and expand the application fields of network pharmacology,such as TCM quality control,repositioning of TCM,and prediction of adverse reactions,in order to fully unleash its broader potential applications. Secondly,it is essential to enhance data quality by improving the accuracy of data sources,standardizing data processing,ensuring precise data selection,and safeguarding the unique characteristics of TCM data,thus avoiding data homogenization phenomena. Additionally,the selection of technical methods should be optimized according to the research objectives. Lastly,it is hoped that by strengthening interdisciplinary collaboration,the application of network pharmacology in the field of TCM can be promoted.
关键词
网络药理学/中医药/研究方法/数据质量/网络靶标/中药重定位/中药处方优化/中药质量控制
Key words
network pharmacology/traditional Chinese medicine/research methods/data quality/network targets/Chinese medicine repositioning/optimization of Chinese medicine prescriptions/quality control of Chinese medicine
维普
万方数据