Network pharmacology and molecular docking to explore Polygoni Cuspidati Rhizoma et Radix treatment for acute lung injury

doi:10.12998/wjcc.v11.i19.4579

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 11, Issue 19

This Article

(155)

(158)

(0)

(13)

(1)

(5019)

(2)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Clinical Cases

ISSN

2307-8960

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Evidence-Based Medicine

World J Clin Cases. Jul 6, 2023; 11(19): 4579-4600
Published online Jul 6, 2023. doi: 10.12998/wjcc.v11.i19.4579

Full Size Figure Download Figure

Figure 10 Protein–protein interaction Network graph of 58 Hub Nodes based on their direct interactions for Polygoni Cuspidati Rhizoma et Radix in acute lung injury.

Citation: Zheng JL, Wang X, Song Z, Zhou P, Zhang GJ, Diao JJ, Han CE, Jia GY, Zhou X, Zhang BQ. Network pharmacology and molecular docking to explore Polygoni Cuspidati Rhizoma et Radix treatment for acute lung injury. World J Clin Cases 2023; 11(19): 4579-4600
URL: https://www.wjgnet.com/2307-8960/full/v11/i19/4579.htm
DOI: https://dx.doi.org/10.12998/wjcc.v11.i19.4579

Zheng JL, Wang X, Song Z, Zhou P, Zhang GJ, Diao JJ, Han CE, Jia GY, Zhou X, Zhang BQ. Network pharmacology and molecular docking to explore Polygoni Cuspidati Rhizoma et Radix treatment for acute lung injury. World J Clin Cases 2023; 11(19): 4579-4600 [PMID: 37469744 DOI: 10.12998/wjcc.v11.i19.4579]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.