小桶
对接(动物)
交互网络
木犀草素
化学
山奈酚
虚拟筛选
计算生物学
药理学
生物
槲皮素
药物发现
医学
生物化学
基因表达
护理部
转录组
基因
抗氧化剂
摘要
To investigate possible targets of Ligustrum lucidum and its anti-inflammatory mechanism. Core targets were screened by the established networks of component target and potential protein interaction, accompanied by GO and KEGG analyses. The findings were confirmed using molecular docking.eight active components including Quercetin, luteolin, kaempferol and corresponding 163 potential targets, including CCL2, IL6, CXCL8, TNF, IL1B, were identified with a threshold of OB ≥ 30% and DL ≥ 0.18%. 1018 anti-inflammatory targets were acquired, with 101 common targets identified by mutual mapping. 172 nodes and 287 edges are readable in the "component target" visualization network graph. The KEGG analysis identified 20 significantly differentiated signaling pathways, including IL-17, toll-like receptor, TNF, HIF-1, lipid and atherosclerosis.Molecular docking has verified the binding sites and energies of the chemical components in Ligustrum lucidum with key anti-inflammatory proteins, providing a theoretical basis for its clinical use and development.
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