对接(动物)
计算生物学
生物
木犀草素
药物发现
山奈酚
药理学
药品
药物重新定位
交互网络
生物信息学
医学
生物化学
槲皮素
基因
护理部
抗氧化剂
作者
Jingmin Deng,LI Hai-li,Jianpeng Zhou
出处
期刊:Combinatorial Chemistry & High Throughput Screening
[Bentham Science]
日期:2022-03-01
卷期号:25 (13): 2264-2277
被引量:3
标识
DOI:10.2174/1386207325666220228154231
摘要
A xiaoqinglong decoction (XQLD) has been proven effective in treating severe coronavirus disease 2019 (COVID-19) cases; however, the mechanism remains unclear.In the current study, we used network pharmacology and molecular docking technology to identify the effective components, potential targets, and biological pathways of XQLD against COVID-19.Public databases were searched to determine the putative targets of the active compounds of XQLD and COVID-19-related targets. STRING and Cytoscape were used to establish the protein-protein interaction network and drug component, along with the target-pathway network. The DAVID database was used to enrich the biological functions and signaling pathways. AutoDock Vina was used for virtual docking.We identified 138 active compounds and 259 putative targets of XQLD. Biological network analysis showed that quercetin, beta-sitosterol, kaempferol, stigmasterol, and luteolin may be critical ingredients of XQLD, whereas VEGFA, IL-6, MAPK3, CASP3, STAT3, MAPK1, MAPK8, CASP8, CCL2, and FOS may be candidate drug targets. Enrichment analysis illustrated that XQLD could function by regulating viral defense, inflammatory response, immune response, and apoptosis. Molecular docking results showed a high affinity between the critical ingredients and host cell target proteins.This study uncovered the underlying pharmacological mechanism of XQLD against COVID-19. These findings lay a solid foundation for promoting the development of new drugs against severe acute respiratory syndrome coronavirus-2 infection and may contribute to the global fight against the COVID-19 pandemic.
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