摘要
采用生物信息学方法分析预测新型冠状病毒(Severe acute respiratory syndrome coronavirus 2,SARS-CoV-2)跨膜蛋白酶丝氨酸2(transmembrane protease serine 2,TMPRSS2)的理化特性、结构特征和抗原表位,为抗SARS-CoV-2药物研发提供参考。利用ProtParam、ProtScale分析预测TMPRSS2蛋白酶的理化特性;利用COILS Server、SignalP、TMPred、TargetP Server、NetPhos Server、NetNGlyc Server服务器对TMPRSS2蛋白酶结构进行功能结构的分析预测;利用SOPMA、Pfam、SWISS MODEL分析预测TMPRSS2蛋白酶高级结构;利用IEBD分析预测TMPRSS2蛋白酶B细胞、T细胞表位。TMPRSS2蛋白酶氨基酸组成数为492个,其中丝氨酸占比最高;亲水性较高,含10个跨膜螺旋区;具有4个磷酸化位点,3个糖基化修饰点;二级结构中无规则卷曲占据主导地位,三级结构能与已知的5ce.1.1.A(SMTL ID)模型同源建模;存在13个潜在的B细胞表位,12个得分较高的T细胞表位。
This study adopted bioinformatics methods to analyzes and prognoses the physicochemical properties,structural characteristics,and antigen epitopes of transmembrane protease serine 2(TMPRSS2),to provide references for medicine research and development against SARS-CoV-2.The physicochemical properties of TMPRSS2 were analyzed and predicted adopting ProtParam and ProtScale;the structural and functional structures of TMPRSS2 protease were analyzed and predicted using servers of COILS Server,SignalP,TMPred,TargetP Server,NetPhos Server,NetNGlyc Server;the high-level structure of TMPRSS2 protease were analyzed and predicted by SOPMA,Pfam,SWISS-MODEL;the B cell and T cell epitopes of TMPRSS2 protease were analyzed and predicted by IEBD.TMPRSS2 comprised 492 amino acids,among them serine accounts for the highest proportion,with high hydrophilic,containing 10 transmembrane helix domains,4 phosphorylation sites,and 3 glycosylation modification sites;random coils occupied dominant position in secondary structure,while tertiary structure could be constructed with homologous of known 5ce.1.1.A(SMTL ID)model,and existed 13 potential B cell epitopes,and 12 potentially high scored T cell epitopes.
作者
戴姿薇
唐标
DAI Zi-wei;TANG Biao(Med.Schl,Hunan Uni.of Chinese Med.,Changsha 410208)
出处
《微生物学杂志》
CAS
CSCD
2021年第1期58-68,共11页
Journal of Microbiology
基金
2019年湖南省教育厅科学研究项目优秀青年项目(19B436)
2019年度湖南省大学生创新创业训练计划项目(S202010541032)。
