About: Network pharmacology suggests biochemical rationale for treating COVID-19 symptoms with a Traditional Chinese Medicine

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Network pharmacology suggests biochemical rationale for treating COVID-19 symptoms with a Traditional Chinese Medicine
Creator	Yang, Lin Zhang, Xue Deng, Sheng-Qiong Peng, Bin Wu, Kun-Lun Zhang, Deng-Hai Ling, Chang-Quan Wang, Yu-Fang Zhang, Kai-Zheng
Source	Medline; PMC
abstract	Chinese herbal formulas including the lung-cleaning and toxicity-excluding (LCTE) soup have played an important role in treating the ongoing COVID-19 pandemic (caused by SARS-CoV-2) in China. Applying LCTE outside of China may prove challenging due to the unfamiliar rationale behind its application in terms of Traditional Chinese Medicine. To overcome this barrier, a biochemical understanding of the clinical effects of LCTE is needed. Here, we explore the chemical compounds present in the reported LCTE ingredients and the proteins targeted by these compounds via a network pharmacology analysis. Our results indicate that LCTE contains compounds with the potential to directly inhibit SARS-CoV-2 and inflammation, and that the compound targets proteins highly related to COVID-19’s main symptoms. We predict the general effect of LCTE is to affect the pathways involved in viral and other microbial infections, inflammation/cytokine response, and lung diseases. Our work provides a biochemical basis for using LCTE to treat COVID-19 and its main symptoms.
has issue date	2020-08-18(xsd:dateTime)
bibo:doi	10.1038/s42003-020-01190-y
bibo:pmid	32811894
has license	cc-by
sha1sum (hex)	47ed4a72dfd18ee0926b632a572740585f652e95
schema:url	https://doi.org/10.1038/s42003-020-01190-y
resource representing a document's title	Network pharmacology suggests biochemical rationale for treating COVID-19 symptoms with a Traditional Chinese Medicine
has PubMed Central identifier	PMC7434773
has PubMed identifier	32811894
schema:publication	Commun Biol
resource representing a document's body	covid:47ed4a72dfd18ee0926b632a572740585f652e95#body_text
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