New Approach for Targeted Treatment of Mild COVID-19 by Honeysuckle through Network Pharmacology Analysis

Huijuan Li, Yan Li, Chunxiang Luo, Xueyan Liang, Zixuan Liu, Yu Liu, Yunzhi Ling

Open source

DOI
10.1155/2022/9604456
Published
2022-02-21
Container
Computational and Mathematical Methods in Medicine
Publisher
Wiley
Open access
unknown

Credibility signals

serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1155/2022/9604456,
  title = {New Approach for Targeted Treatment of Mild COVID-19 by Honeysuckle through Network Pharmacology Analysis},
  author = {Huijuan Li and Yan Li and Chunxiang Luo and Xueyan Liang and Zixuan Liu and Yu Liu and Yunzhi Ling},
  year = {2022},
  journal = {Computational and Mathematical Methods in Medicine},
  doi = {10.1155/2022/9604456},
  url = {https://doi.org/10.1155/2022/9604456}
}

RIS

TY  - JOUR
TI  - New Approach for Targeted Treatment of Mild COVID-19 by Honeysuckle through Network Pharmacology Analysis
AU  - Huijuan Li
AU  - Yan Li
AU  - Chunxiang Luo
AU  - Xueyan Liang
AU  - Zixuan Liu
AU  - Yu Liu
AU  - Yunzhi Ling
PY  - 2022
JO  - Computational and Mathematical Methods in Medicine
DO  - 10.1155/2022/9604456
UR  - https://doi.org/10.1155/2022/9604456
ER  - 

APA

Li, H., Li, Y., Luo, C., Liang, X., Liu, Z., Liu, Y., & Ling, Y. (2022). New Approach for Targeted Treatment of Mild COVID-19 by Honeysuckle through Network Pharmacology Analysis. Computational and Mathematical Methods in Medicine. https://doi.org/10.1155/2022/9604456

Source records