Exploring the mechanism of action of Xuanfei Baidu granule (XFBD) in the treatment of COVID-19 based on molecular docking and molecular dynamics

2019年冠状病毒病(COVID-19) 对接(动物) 计算生物学 分子动力学 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 化学 纳米技术 计算机科学 生物 医学 材料科学 计算化学 传染病(医学专业) 疾病 病理 护理部
作者
Li Xiong,Jun‐Feng Cao,Xingyu Yang,Shengyan Chen,Mei Wu,Chaochao Wang,Hengxiang Xu,Yijun Chen,Ruijiao Zhang,Xiao Hu,Tian Chen,Jing Tang,Qin Deng,Dong Li,Zheng Yang,Guibao Xiao,Xiao Zhang
出处
期刊:Frontiers in Cellular and Infection Microbiology [Frontiers Media SA]
卷期号:12 被引量:12
标识
DOI:10.3389/fcimb.2022.965273
摘要

Purpose The Corona Virus Disease 2019 (COVID-19) pandemic has become a challenge of world. The latest research has proved that Xuanfei Baidu granule (XFBD) significantly improved patient’s clinical symptoms, the compound drug improves immunity by increasing the number of white blood cells and lymphocytes, and exerts anti-inflammatory effects. However, the analysis of the effective monomer components of XFBD and its mechanism of action in the treatment of COVID-19 is currently lacking. Therefore, this study used computer simulation to study the effective monomer components of XFBD and its therapeutic mechanism. Methods We screened out the key active ingredients in XFBD through TCMSP database. Besides GeneCards database was used to search disease gene targets and screen intersection gene targets. The intersection gene targets were analyzed by GO and KEGG. The disease-core gene target-drug network was analyzed and molecular docking was used for verification. Molecular dynamics simulation verification was carried out to combine the active ingredient and the target with a stable combination. The supercomputer platform was used to measure and analyze the number of hydrogen bonds, the binding free energy, the stability of protein target at the residue level, the solvent accessible surface area, and the radius of gyration. Results XFBD had 1308 gene targets, COVID-19 had 4600 gene targets, the intersection gene targets were 548. GO and KEGG analysis showed that XFBD played a vital role by the signaling pathways of immune response and inflammation. Molecular docking showed that I-SPD, Pachypodol and Vestitol in XFBD played a role in treating COVID-19 by acting on NLRP3, CSF2, and relieve the clinical symptoms of SARS-CoV-2 infection. Molecular dynamics was used to prove the binding stability of active ingredients and protein targets, CSF2/I-SPD combination has the strongest binding energy. Conclusion For the first time, it was found that the important active chemical components in XFBD, such as I-SPD, Pachypodol and Vestitol, reduce inflammatory response and apoptosis by inhibiting the activation of NLRP3, and reduce the production of inflammatory factors and chemotaxis of inflammatory cells by inhibiting the activation of CSF2. Therefore, XFBD can effectively alleviate the clinical symptoms of COVID-19 through NLRP3 and CSF2.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
3秒前
3秒前
Saadiya完成签到,获得积分10
3秒前
科目三应助小研家采纳,获得10
4秒前
4秒前
5秒前
不打哈欠发布了新的文献求助10
6秒前
Saadiya发布了新的文献求助10
7秒前
7秒前
kk发布了新的文献求助10
7秒前
完美世界应助科研通管家采纳,获得10
7秒前
深情安青应助科研通管家采纳,获得10
7秒前
帝国之花应助科研通管家采纳,获得10
7秒前
洗月完成签到,获得积分10
7秒前
tuanheqi应助科研通管家采纳,获得150
7秒前
大模型应助科研通管家采纳,获得10
8秒前
After应助科研通管家采纳,获得10
8秒前
8秒前
完美世界应助科研通管家采纳,获得10
8秒前
深情安青应助科研通管家采纳,获得10
8秒前
帝国之花应助科研通管家采纳,获得10
8秒前
xiaolei001应助科研通管家采纳,获得10
8秒前
tuanheqi应助科研通管家采纳,获得150
8秒前
大模型应助科研通管家采纳,获得10
8秒前
量子星尘发布了新的文献求助50
8秒前
After应助科研通管家采纳,获得10
8秒前
量子星尘发布了新的文献求助10
8秒前
8秒前
kiminonawa应助科研通管家采纳,获得10
8秒前
xiaolei001应助科研通管家采纳,获得10
8秒前
NexusExplorer应助科研通管家采纳,获得10
9秒前
SciGPT应助科研通管家采纳,获得10
9秒前
9秒前
SciGPT应助科研通管家采纳,获得10
9秒前
自然的书瑶应助听风念旧采纳,获得10
9秒前
9秒前
Logan应助科研通管家采纳,获得10
9秒前
xiaolei001应助科研通管家采纳,获得10
9秒前
Terry应助科研通管家采纳,获得50
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Quaternary Science Reference Third edition 6000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5785302
求助须知:如何正确求助?哪些是违规求助? 5687230
关于积分的说明 15467275
捐赠科研通 4914416
什么是DOI,文献DOI怎么找? 2645196
邀请新用户注册赠送积分活动 1593006
关于科研通互助平台的介绍 1547351