An Analysis of the Anti-Neuropathic Effects of Qi She Pill Based on Network Pharmacology

Background. Qi She Pill (QSP) is a traditional prescription for the treatment of neuropathic pain (NP) that is widely used in China. However, no network pharmacology studies of QSP in the treatment of NP have been conducted to date. Objective. To verify the potential pharmacological effects of QSP on NP, its components were analyzed via target docking and network analysis, and network pharmacology methods were used to study the interactions of its components. Materials and Methods. Information on pharmaceutically active compounds in QSP and gene information related to NP were obtained from public databases, and a compound-target network and protein-protein interaction network were constructed to study the mechanism of action of QSP in the treatment of NP. The mechanism of action of QSP in the treatment of NP was analyzed via Gene Ontology (GO) biological process annotation and Kyoto Gene and Genomics Encyclopedia (KEGG) pathway enrichment, and the drug-like component-target-pathway network was constructed. Results. The compound-target network contained 60 compounds and 444 corresponding targets. The key active compounds included quercetin and beta-sitosterol. Key targets included PTGS2 and PTGS1. The protein-protein interaction network of the active ingredients of QSP in the treatment of NP featured 48 proteins, including DRD2, CHRM, β2-adrenergic receptor, HTR2A, and calcitonin gene-related peptide. In total, 53 GO entries, including 35 biological process items, 7 molecular function items, and 11 cell related items, were identified. In addition, eight relevant (KEGG) pathways were identified, including calcium, neuroactive ligand-receptor interaction, and cAMP signaling pathways. Conclusion. Network pharmacology can help clarify the role and mechanism of QSP in the treatment of NP and provide a foundation for further research.

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Network Pharmacology study of Curcuma longa L.: Potential Target Proteins and their Functional Enrichment Analysis.

10.21203/rs.3.rs-31985/v2 ◽

2020 ◽

Author(s):

SANGEETA KUMARI

Keyword(s):

Signaling Pathway ◽

Mechanism Of Action ◽

Protein Interaction ◽

Protein Interaction Network ◽

Curcuma Longa ◽

Interaction Network ◽

Functional Enrichment ◽

Target Proteins ◽

Protein Protein Interaction ◽

Protein Protein Interaction Network

Abstract Objective This study’s primary goal is unraveling the mechanism of action of bioactives of Curcuma longa L. at the molecular level using protein-protein interaction network.Results We used target proteins to create protein-protein interaction network (PPIN) and identified significant node and edge attributes of PPIN. We identified the cluster of proteins in the PPIN, which were used to identify enriched pathways. . We identified closeness centrality and jaccard score as most important node and edge attribute of the PPIN respectively. The enriched pathways of various clusters were overlapped suggesting synergistic mechanism of action. The three pathways found to be common among three clusters were Gonadotropin-releasing hormone receptor pathway, Endothelin signaling pathway, and Inflammation mediated by chemokine and cytokine signaling pathway.

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A Combination of Protein-Protein Interaction Network Topological and Biological Process Features for Multiprotein Complex Detection

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology ◽

10.1016/b978-0-12-804203-8.00020-1 ◽

2016 ◽

pp. 305-315

Author(s):

N. Zaki ◽

E.A. Mohamed

Keyword(s):

Protein Interaction ◽

Protein Interaction Network ◽

Biological Process ◽

Interaction Network ◽

Multiprotein Complex ◽

Protein Protein Interaction ◽

Complex Detection ◽

Protein Protein Interaction Network

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Network pharmacology study of Curcuma longa L.: potential target proteins and their functional enrichment analysis

BMC Research Notes ◽

10.1186/s13104-020-05301-0 ◽

2020 ◽

Vol 13 (1) ◽

Author(s):

Sangeeta Kumari ◽

Hosahalli S. Subramanya

Keyword(s):

Signaling Pathway ◽

Mechanism Of Action ◽

Protein Interaction ◽

Protein Interaction Network ◽

Curcuma Longa ◽

Interaction Network ◽

Functional Enrichment ◽

Target Proteins ◽

Protein Protein Interaction ◽

Protein Protein Interaction Network

Abstract Objective This study’s primary goal is unraveling the mechanism of action of bioactives of Curcuma longa L. at the molecular level using protein–protein interaction network. Results We used target proteins to create protein–protein interaction network (PPIN) and identified significant node and edge attributes of PPIN. We identified the cluster of proteins in the PPIN, which were used to identify enriched pathways. We identified closeness centrality and jaccard score as most important node and edge attribute of the PPIN respectively. The enriched pathways of various clusters were overlapped suggesting synergistic mechanism of action. The three pathways found to be common among three clusters were Gonadotropin-releasing hormone receptor pathway, Endothelin signaling pathway, and Inflammation mediated by chemokine and cytokine signaling pathway.

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Network Pharmacology Study of Curcuma Longa: Potential Target Proteins and their Functional Enrichment Analysis.

10.21203/rs.3.rs-31985/v1 ◽

2020 ◽

Author(s):

SANGEETA KUMARI

Keyword(s):

Signaling Pathway ◽

Mechanism Of Action ◽

Protein Interaction ◽

Protein Interaction Network ◽

Curcuma Longa ◽

Interaction Network ◽

Enrichment Analysis ◽

Protein Protein Interaction ◽

Function Module ◽

Protein Protein Interaction Network

Abstract Objective: This study’s primary goal is unraveling the mechanism of action of bioactives of Curcuma longa L. at the molecular level using protein-protein interaction network.Results: We used target proteins to create protein-protein interaction network (PPI) and identified significant node and edge attributes of PPI. To find the function module, we identified the cluster of proteins which were further queried to GO enrichment analysis. Closeness centrality and jaccard score identified as most important node and edge attribute of the protein-protein interaction network respectively. The mapped pathways of various function module of the network were overlapped and showed synergistic mechanism of action. Three most important identified pathways were Gonadotropin-releasing hormone receptor pathway, Endothelin signaling pathway, and Inflammation mediated by chemokine and cytokine signaling pathway.

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Identifying Gastric Cancer Related Genes Using the Shortest Path Algorithm and Protein-Protein Interaction Network

BioMed Research International ◽

10.1155/2014/371397 ◽

2014 ◽

Vol 2014 ◽

pp. 1-9 ◽

Cited By ~ 4

Author(s):

Yang Jiang ◽

Yang Shu ◽

Ying Shi ◽

Li-Peng Li ◽

Fei Yuan ◽

...

Keyword(s):

Gastric Cancer ◽

Shortest Path ◽

Protein Interaction ◽

Protein Interaction Network ◽

High Probability ◽

Biological Process ◽

Interaction Network ◽

Shortest Path Algorithm ◽

Protein Protein Interaction ◽

Protein Protein Interaction Network

Gastric cancer, as one of the leading causes of cancer related deaths worldwide, causes about 800,000 deaths per year. Up to now, the mechanism underlying this disease is still not totally uncovered. Identification of related genes of this disease is an important step which can help to understand the mechanism underlying this disease, thereby designing effective treatments. In this study, some novel gastric cancer related genes were discovered based on the knowledge of known gastric cancer related ones. These genes were searched by applying the shortest path algorithm in protein-protein interaction network. The analysis results suggest that some of them are indeed involved in the biological process of gastric cancer, which indicates that they are the actual gastric cancer related genes with high probability. It is hopeful that the findings in this study may help promote the study of this disease and the methods can provide new insights to study various diseases.

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Network Pharmacology study of Curcuma longa L.: Potential Target Proteins and their Functional Enrichment Analysis.

10.21203/rs.3.rs-31985/v3 ◽

2020 ◽

Author(s):

SANGEETA KUMARI ◽

Hosahalli S. Subramanya

Keyword(s):

Signaling Pathway ◽

Mechanism Of Action ◽

Protein Interaction ◽

Protein Interaction Network ◽

Curcuma Longa ◽

Interaction Network ◽

Functional Enrichment ◽

Target Proteins ◽

Protein Protein Interaction ◽

Protein Protein Interaction Network

Abstract ObjectiveThis study’s primary goal is unraveling the mechanism of action of bioactives of Curcuma longa L. at the molecular level using protein-protein interaction network.ResultsWe used target proteins to create protein-protein interaction network (PPIN) and identified significant node and edge attributes of PPIN. We identified the cluster of proteins in the PPIN, which were used to identify enriched pathways. We identified closeness centrality and jaccard score as most important node and edge attribute of the PPIN respectively. The enriched pathways of various clusters were overlapped suggesting synergistic mechanism of action. The three pathways found to be common among three clusters were Gonadotropin-releasing hormone receptor pathway, Endothelin signaling pathway, and Inflammation mediated by chemokine and cytokine signaling pathway.

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