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SARS-CoV-2非结构蛋白NSP14的生物信息学分析
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作者 许勇 李静 +4 位作者 王红萍 张忠东 王娟 胡倩 赵娜娜 《生物技术通讯》 CAS 2020年第2期178-182,共5页
目的:通过生物信息学手段预测新型冠状病毒(SARS-CoV-2)中非结构蛋白NSP14的性质特征。方法:以SARS-CoV-2的NSP14氨基酸序列为研究对象,通过Blastp与SARS-CoV的NSP14进行比对,并利用ProtParam、ProtScale、PredictProtein和SWISS-MODEL... 目的:通过生物信息学手段预测新型冠状病毒(SARS-CoV-2)中非结构蛋白NSP14的性质特征。方法:以SARS-CoV-2的NSP14氨基酸序列为研究对象,通过Blastp与SARS-CoV的NSP14进行比对,并利用ProtParam、ProtScale、PredictProtein和SWISS-MODEL等生物信息学软件工具对NSP14的理化性质、结构和活性区域等进行预测。结果:SARS-CoV-2的NSP14由527个氨基酸残基构成,是一种可溶性亲水蛋白,与SARS-CoV中NSP14氨基酸序列的一致率达到95%。NSP14二级结构中无规则卷曲含量最高,该蛋白质包含了N-糖基化位点、cAMP或cGMP依赖蛋白激酶磷酸化位点、蛋白激酶C磷酸化位点、酪蛋白激酶Ⅱ磷酸化位点和N-豆蔻酰化位点等5个保守基序。NSP14同时具备N端核糖核酸外切酶和N7-甲基转移酶2个结构域,其活性区域的总面积和体积分别为1469.712?~2和1708.967?~3。结论:基于SARS-CoV-2中NSP14的氨基酸序列,运用生物信息学相关软件分析和预测了NSP14蛋白的性质和结构,为新型冠状病毒疫苗研制和药物筛选提供理论依据。 展开更多
关键词 新型冠状病毒 非结构蛋白14 核糖核酸外切酶 甲基转移酶 生物信息学
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Potential treatment with Chinese and Western medicine targeting NSP14 of SARS-CoV-2 被引量:1
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作者 Chao Liu Xiaoxiao Zhu +3 位作者 Yiyao Lu Xianqin Zhang Xu Jia Tai Yang 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2021年第3期272-277,共6页
The outbreak of coronavirus disease 2019(COVID-19)caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is a serious global health threat.This raises an urgent need for the development of effective drug... The outbreak of coronavirus disease 2019(COVID-19)caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is a serious global health threat.This raises an urgent need for the development of effective drugs against the deadly disease.SARS-CoV-2 non-structural protein 14(NSP14)carrying RNA cap guanine N7-methyltransferase and 30-50 exoribonuclease activities could be a potential drug target for intervention.NSP14 of SARS-CoV-2 shares 98.7%of similarity with the one(PDB 5NFY)of acute respiratory syndrome(SARS)by ClustalW.Then,the SARS-CoV-2 NSP14 structures were modelled by Modeller 9.18 using SARS NSP14(PDB 5NFY)as template for virtual screening.Based on the docking score from AutoDock Vina1.1.2,18 small molecule drugs were selected for further evaluation.Based on the 5 ns MD simulation trajectory,binding free energy(DG)was calculated by MM/GBSA method.The calculated binding free energies of Saquinavir,Hypericin,Baicalein and Bromocriptine for the N-terminus of the homology model wereà37.2711±3.2160,à30.1746±3.1914,à23.8953±4.4800,andà34.1350±4.3683 kcal/mol,respectively,while the calculated binding free energies wereà60.2757±4.7708,à30.9955±2.9975,à46.3099±3.5689,andà59.8104±3.5389 kcal/mol,respectively,when binding to the C-terminus.Thus,the compounds including Saquinavir,Hypericin,Baicalein and Bromocriptine could bind to the N-terminus and C-terminus of the homology model of the SARS-CoV-2 NSP14,providing a candidate drug against SARS-CoV-2 for further study. 展开更多
关键词 SARS-CoV-2 nonstructural protein 14(nsp14) ZINC database Drug docking
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