基于生物信息学的ECSM2胞外区B细胞表位预测

Predicting B cell epitopes of ECSM2 extracellular domain with bioinformatics

目的预测内皮细胞特异分子-2(endothelial cell-specific molecule-2,ECSM2)胞外区B细胞表位。方法以ECSM2胞外区氨基酸序列为基础,应用公共的生物信息学工具,分析ECSM2的序列特异性、二级结构,以及极性、亲水性、柔韧性、表面可及性等参数,然后借助专业的B细胞表位预测工具预测潜在的B细胞表位,最后对获得的数据综合分析,评判ECSM2胞外区最有可能的B细胞表位。结果综合分析多种生物信息学工具获得的数据表明,ECSM2胞外区69-93位氨基酸区段包含了4个相互重叠的潜在表位,具有极大的B细胞表位可能性。结论应用生物信息学预测出的ECSM2胞外区B细胞表位,为直接利用该表位从抗体库或杂交瘤细胞库中筛选出血管内皮细胞靶向的特异抗体提供了理论依据。

To predict B cell epitopes of endothelial cell-specific molecule-2 （ECSM2） extracellular domain. Basing on the amino acids of ECSM2 extracellular domain, the sequence specificity, secondary structure, and various parameter including polarity, hydrophilicity, flexibility and surface accessibility were analyzed with public bioinformatics tools. And then, professional tool was applied to predict potential B cell epitopes of ECSM2 extracellular domain. Finally, the data obtained from bioinformatics were comprehensively analyzed to predict the possible epitopes. The analysis showed the region encoding amino acid residues 69-93 of ECSM2 was probably the dominant epitope, because this short peptide region contains four overlapping potential epitopes. The epitopes concluded by bioinformaties provide theoretical references for isolating specific antibodies targeting vascular endothelial cell from antibody library or hybridoma cell library.