摘要
目的预测人脂多糖结合蛋白(LBP)的B细胞抗原表位。方法采用生物信息软件和互联网服务器,预测LBP的二级结构和分析LBP表面特性(亲水性、可塑性、可及性和抗原性),再计算平均抗原指数(AI),预测LBP的B细胞抗原表位。结果LBP存在多个潜在的抗原表位,247~260序列(FKGEIFHRNHRSPV)的AI(0.0407)明显高于其他片段,370~379序列(LPSSSKEPVF)和303~325序列(ITDDMIPPDSNIRLTTKSFRPFV)的AI分别是0.0336和0.0295。247~260序列是LBP潜在的B细胞优势抗原表位。结论应用多参数预测到LBP的B细胞抗原表位。
Objective To predict the B-cell epitope for lipopolysaccharide-binding protein (LBP) antigen. Methods Using biotic software and network servers, the secondary structure of LBP was predicted, and the surface properties of LBP, such as hydrophilicity, flexibility, accessibility and antigenicity, were analyzed. Then the average antigen index (AI) was calculated by using Wu' s method. Results Many distinct antigenic epitopes on LBP were identified : AI of sequence 247 - 260 (FKGEIFHRNHRSPV) on LBP was 0.040 7, significantly higher than that of other sequences. AI of sequence 370 - 379 (LPSSSKEPVF) and sequence 303 - 325 (ITDDMIPPDSNIRLTYKSFRPFV) was 0.033 6 and 0.029 5, respectively. Sequence 247 - 260 was the prevalent antigen epitope of B-cell on LBP. Conclusion The B-cell epitopes of LBP is predicted successfully.
出处
《第三军医大学学报》
CAS
CSCD
北大核心
2008年第4期292-294,共3页
Journal of Third Military Medical University
基金
国家自然科学基金(30500230)~~