Network Pharmacology Analysis of An-Gong-Niu-Huang-Wan (AGNHW) for the Treatment of Stroke

Abstract:

Stroke is the most common neurological disease. Stroke is one of the leading causes of death and disability in the world. It includes ischemic stroke and hemorrhagic stroke. Thrombectomy and tissue plasminogen activators (t-PA) are the only FDA-approved treatments for ischemic stroke patients, but they have a short time window and an elevated risk of hemorrhagic transformation. Consequently, ischemic stroke remains an ongoing unmet medical need. Traditional Chinese medicines are known for their positive efficacy in the clinical treatment of ischemic stroke. An-Gong-Niu-Huang-Wan (AGNHW) has been used for over 220 years to treat acute ischemic stroke. However, the chemical profile and underlying mechanism of AGNHW are still unclear. This study will aim to discover the chemical profile and underlying mechanism of AGNHW. In this project, we will use network pharmacology to analyze the chemical profile and underlying mechanism of AGNHW.

Skills and experience required for the project:

Preferred discipline(s): Chemistry and biology

Software skills in the Similarity Ensemble Approach (SEA: https://sea.bkslab.org/), SwissTargetPrediction (http://www.swisstargetprediction.ch/), and the Search Tool for
Interactions of Chemicals (STITCH V5.0: http://stitch.embl.de/) for target prediction. The targets will be screened using Comparative Toxicogenomics Database (CTD:
https://ctdbase.org/), DisGeNET (https://www.disgenet.org/), GeneCards (https://www.genecards.org/), PharmGKB (https://www.pharmgkb.org/), and Therapeutic Target Database (TTD: https://db.idrblab.net/ttd/). The selected targets will be subjected to online gene ontology (GO) and KEGG pathway enrichment analysis using DAVID informatics
database (http://david.ncifcrf.gov).