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Pharmacological targets and mechanisms of calycosin against meningitis

机译:脑膜炎肾细胞炎的药理学靶点和机制

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摘要

This report aimed to identity the potential anti-meningitis targets and mechanisms functioned by calycosin through network pharmacology approach. The bioinformatics databases were used to screen and collect the candidate genes/targets of calycosin and meningitis prior to identification of vital biotargets of calycosin-anti-meningitis. Additionally, the functional processes, signaling pathways of calycosin-anti-meningitis were screened and identified before further data visualization. As a result, all candidate and mapped biotargets of calycosin and meningitis were harvested before the vital targets of epidermal growth factor receptor (EGFR), tumor necrosis factor (TNF), epidermal growth factor (EGF), ataxia telangiectasia mutated protein (ATM), estrogen receptor alpha (ESR1), caspase-8 (CASP8), nerve growth factor (NGF) of calycosin-anti-meningitis were identified. The molecular processes of calycosin-anti-meningitis were screened and identified, including reduction of inflammatory development. Furthermore, the molecular pathways of calycosin-anti-meningitis were revealed, including suppression of NF-kappa B, Toll-like receptor, TNF signaling pathways. Molecular docking findings uncovered the docking capacity of calycosin with meningitis and potential pharmacological activity of calycosin against meningitis. In conclusion, these bioinformatic data uncovered the network targets and mechanisms of calycosin-anti-meningitis. And the current findings indicated that the vital targets might be used as potent biomarkers for detecting meningitis.
机译:本报告旨在通过网络药理学方法来识别潜在的抗脑膜炎靶标和机制,通过网络药理学方法。生物信息学数据库用于筛选和收集钙霉素和脑膜炎的候选基因/靶标在鉴定Calycosin-抗脑膜炎的重要生物靶案之前。另外,在进一步的数据可视化之前筛选和鉴定了泛菌素 - 抗脑膜炎的信号传导途径。结果,在表皮生长因子受体(EGFR)的重要靶标,肿瘤坏死因子(TNF),表皮生长因子(EGF),Ataxia Telanciectasia突变蛋白(ATM)中,收获所有候选和脑膜炎的所有候选和脑膜炎的生物靶案。鉴定了雌激素受体α(ESR1),Caspase-8(Casp8),抗霉菌 - 抗脑膜炎的神经生长因子(NGF)。筛选和鉴定了苏尔霉素 - 抗脑膜炎的分子过程,包括降低炎症发育。此外,揭示了呼吸霉素 - 抗脑膜炎的分子途径,包括抑制NF-Kappa B,Toll样受体,TNF信号传导途径。分子对接结果发现了患有脑膜炎的脑膜炎和脑脑炎的脑膜炎和潜在药理活性的对接能力。总之,这些生物信息化数据揭示了抗脑膜炎的网络目标和机制。目前的发现表明,重要的靶点可能被用作检测脑膜炎的有效生物标志物。

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