Network pharmacology for traditional Chinese medicine in era of artificial intelligence

作者：Weibo Zhao, Boyang Wang, Shao Li · 发表于：Chinese Herbal Medicines · 年份：2024 · DOI：10.1016/j.chmed.2024.08.004 · 被引用次数：31 · 研究领域：Traditional Chinese Medicine Studies、Plant-based Medicinal Research、Traditional Chinese Medicine Analysis

Traditional Chinese Medicine Network Pharmacology (TCM-NP) is an interdisciplinary discipline that integrates information science, systems biology, network science and pharmacology, providing a systematic research methodology for TCM studies. With the development of artificial intelligence (AI) and multi-omics technologies, TCM-NP has entered a new era and can incorporate multimodal and high-dimensional data in the context of big data to enhance both theoretical foundations and technical capabilities. Despite its advancement, TCM-NP still faces challenges, particularly in ensuring the quality of data and research, as well as achieving more profound scientific discoveries. The field needs further innovation to obtain more precise and biomedically meaningful results. Overall research progress in TCM-NP depends on developing more accurate algorithms together with utilizing higher-quality and larger-scale data. This paper gives a perspective on the trends and characteristics of TCM-NP development and application in the era of AI.