2020
DOI: 10.12659/msm.927491
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Effect of Asthma on Erectile Dysfunction in Rats as Determined by Biological Network Analysis

Abstract: Background We explored the effect of asthma on erectile dysfunction (ED) and the effects of the expression of related proteins. Material/Methods We used a bioinformatics database to predict the targets and pathways associated with asthma and ED. The rat model of asthma was caused by an ovalbumin solution. The number of erections in 30 min was observed by injecting apomorphine into the neck at a dose of 100 μg/kg. Rats with no erection were regarded as the model group (g… Show more

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Cited by 4 publications
(6 citation statements)
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“…The network analyser was used to calculate the ‘degree’ of each node to obtain the top‐ranked compounds. In addition, the Cytoscape plug‐in cytohubba was used to further analyse the PPI network to identify the top‐ranked targets (Wang et al., 2020).…”
Section: Methodsmentioning
confidence: 99%
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“…The network analyser was used to calculate the ‘degree’ of each node to obtain the top‐ranked compounds. In addition, the Cytoscape plug‐in cytohubba was used to further analyse the PPI network to identify the top‐ranked targets (Wang et al., 2020).…”
Section: Methodsmentioning
confidence: 99%
“…The STRING database (https://strin g-db.org/) was used to identify possible PPIs, and at the same time, the interaction score was adjusted to greater than 0.4 to ensure the reliability of the data (Wang et al, 2020). The results were saved for network construction and further analysis.…”
Section: Interaction Between Proteins (Ppi)mentioning
confidence: 99%
See 1 more Smart Citation
“…To improve the reliability of the data obtained, each PPI was filtered further, with a minimum interaction score of 0.40. The filtered PPI was used for network construction and analyses (Wang, Gong, Deng, et al., 2020; Wang, Gong, Meng, et al, 2020).…”
Section: Methodsmentioning
confidence: 99%
“…The concept of network pharmacology is derived from the introduction of systems biology and the application of bioinformatics, as well as from the ‘omics’ theories related to the development of modern genomics, proteomics, and metabolomics. Based on the ‘disease‐gene‐target‐drug’ interaction network, a network analysis method was used to observe the intervention and influence of drugs on the disease network, and to determine the synergistic effect of multiple drugs (Wang, Gong, Deng, et al., 2020; Wang, Gong, Meng, et al, 2020). First, network pharmacology was used to predict key active ingredients and targets.…”
Section: Introductionmentioning
confidence: 99%