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使用ProtParam、PROSITE、Jpred、Modeller 9.12和ABCpred等生物信息学工具来预测、比较分析尘螨变应原Der f6、Derp6和Blot6的理化性质、一级结构、二级结构、三级结构及抗原表位。Der f6、Der p6和Blo t 6氨基酸序列一致性为78.35%,都含有3个胰蛋白酶活性位点氨基酸及2个功能结构区特异性序列;二级和三级结构中都由α-螺旋、β-折叠和无规卷曲组成;活性位点氨基酸在三级结构中完全重合,并相互靠近构成蛋白酶的活性中心;主要潜在抗原表位区域为4~5个,并在第37~38 aa和第175~179 aa区域出现了重合,但表位重合区的氨基酸种类不完全相同。本研究应用生物信息方法预测和比较了Der f6、Der p 6和Blot6结构与抗原方面的信息,为进一步研究变应原功能、疫苗研制奠定了基础。
Bioinformatics tools such as ProtParam, PROSITE, Jpred, Modeller 9.12 and ABCpred were used to predict and analyze the physicochemical properties, primary structure, secondary structure, tertiary structure and antigenic table of Der f6, Derp6 and Blot6 allergens Bit. Der f6, Der p6 and Blo t 6 amino acid sequence identity of 78.35%, all containing three trypsin active site amino acids and two functional structure region-specific sequences; secondary and tertiary structure by the α-helix, β-sheet and random coil. The active site amino acids completely overlap in the tertiary structure and close to each other to form the active center of protease. The main latent epitopes range from 4 to 5, There was a coincidence in the 175-179 aa region, but the amino acid species in the epitope overlap region were not exactly the same. In this study, bioinformatics methods were used to predict and compare the structure and antigenic information of Der f6, Der p 6 and Blot 6, which laid the foundation for further research on allergen function and vaccine development.