应用因特网对SARS病毒M蛋白B细胞抗原表位的预测

Prediction of B Cell Epitopes for SARS-CoV M Protein Using Various Predictive Algorithms of the World Wide Web

目的:预测SARS冠状病毒M蛋白的B细胞表位。方法:采用EMBOSS软件结合Hopp＆woods亲水性参数、Janin可及性参数、极性参数、柔韧性参数及二级结构方案对SARS冠状病毒M蛋白的B细胞表位进行了预测,井用吴玉章等已建立的B细胞表位预测方法进行评述。结果:SARS冠状病毒M蛋白B细胞识别的表位可能位于第3～13和153～166位氨基酸等区域内或附近,这2个被预测的表位均含有β-转角和无规卷曲结构。结论:该研究对应用合成肽抗原进行SARS早期诊断研究及相关抗体的制备具有重要指导意义。

Objective: To predict B cell epitopes in SARS coronavirus(SARS-CoV) M protein. Methods: Various algorithms and methods of World Wide Web (Internet) were used, including EMBOSS program, Hopp & Woods hydrophility, accessibility (janin), polarity, flexibility and secondary structure. Results: It was shown that B cell epitopes of SARS-CoV M protein probably located in or were adjacent to amino acids 3-14 and 150-164. All the 2 predicted epitopes contain (3-turn and random coil structrure. Conclusion: The finding is helpful for further study on SARS diagnosis and preparation of antibody to SARS coronavirus M protein using synthetic peptide approach.