摘要
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。
Objective:To analyze and predict the characteristics of the nonstructural protein 14(NSP14)in SARS-Co V-2 by bioinformatics analysis softwares.Methods:The physicochemical property,structure and active area of amino acid sequence of NSP14 in SARS-CoV-2 were analyzed by 7 bioinformatics analysis softwares including ProtParam,Prot Scale,Predict Protein and SWISS-MODEL.Results:NSP14 in SARS-Co V-2 consisting of 527 amino acid residues was a soluble hydrophilic protein,which was 95%identical with the amino acid sequence of NSP14 in SARS-CoV.Random coil was the main secondary structure component,and NSP14 contained Asn-glycosylation site,cAMP/cGMP-dependent protein kinase phosphorylation site,protein kinase C phosphorylation site,casein kinaseⅡphosphorylation site and N-myristoylation site.There were two functional domains in NSP14,3’-5’exonuclease and N7-methyltransferase.The total area and volume of the two active areas were 1469.712?~2and 1708.967?~3respectively.Conclusion:The characteristics and structure of the NSP14 in SARS-CoV-2 were predicted by bioinformatics analysis software,which offered theoretical basis for the further study on drugs of SARS-CoV-2.
作者
许勇
李静
王红萍
张忠东
王娟
胡倩
赵娜娜
XU Yong;LI Jing;WANG Hong-Ping;ZHANG Zhong-Dong;WANG Juan;HU Qian;ZHAO Na-Na(Anhui Academy of Medical Sciences,Hefei 230061,China)
出处
《生物技术通讯》
CAS
2020年第2期178-182,共5页
Letters in Biotechnology
基金
安徽省“十三五”医疗卫生重点专科(皖卫科教[2017]30号)。
