@article{APS10328,
author = {Hua-li Zuo and Yang-Chi-Dung Lin and Hsi-Yuan Huang and Xu Wang and Yun Tang and Yuan-jia Hu and Xiang-jun Kong and Qian-jun Chen and Yu-zhu Zhang and Hsiao-Chin Hong and Jing Li and Si-yao Hu and Hsien-Da Huang},
title = {The challenges and opportunities of traditional Chinese medicines against COVID-19: a way out from a network perspective},
journal = {Acta Pharmacologica Sinica},
volume = {42},
number = {6},
year = {2021},
keywords = {},
abstract = {The purpose of this perspective is to provide insights into the current challenges and opportunities of applying network pharmacology (NP) to illustrate the effectiveness of traditional Chinese medicines (TCMs) against the coronavirus disease 2019 (COVID-19). Emerging studies have indicated that the progression of COVID-19 is associated with hematologic and immunologic responses in patients, and TCMs may fight against COVID-19 regarding the two aspects. However, the underlying mechanisms remain largely unclear [1]. This perspective is intended as a brief report derived from our previous experience in investigating the efficacy of TCMs, via conventional reductionism-based research methods, holistic NP, systems biology, or “omics” research, and prevailing big data analysis.},
issn = {1745-7254}, url = {http://www.chinaphar.com/article/view/10328}
}