摘要
目的 利用生物信息学预测髓样分化蛋白-2（myeloid differentiation protein-2，MD-2）的B细胞抗原表位，为MD-2特异性抗体的制备提供实验基础。方法 采用多种生物软件和互联网服务器，以单参数（亲水性、抗原性、可及性及可塑性）预测为基础，二级结构预测初步筛选，抗原指数最终确定的方法预测MD-2的B细胞抗原表位。结果 96～110序列（RGSDDDYSFCRALK）的亲水性和抗原指数（AI=0．043）显著高于其他候选片断；65～76序列（YIPRRDLKQLYF）和107～117序列（ALKGETVNTTI）的A1分别为0．0063和0．0036。结论 96—110序列（RGSDDDYSFCRALK）是MD-2的B细胞优势抗原表位。
Objective To predict B-cell antigen epitope of myeloid differentiation protein-2 （MD-2） with bioinformatics, for preparing specific antibody of MD-2. Methods By using biotic softwares and network servers, the hydrophilicity, antigenicity, accessibility, and flexibility of MD-2 were predicted, and then the secondary structure was predicted. The average antigen index （AI） was calculated by using Wu＇s method, which could predict the antigen epitope of MD-2. Results The AI of sequence 96 - 110 （RGSDDDYSFCRALK） on MD-2 was 0.043, which was significantly higher than that of other sequences. The AI of sequence 65 - 76 （YIPRRDLKQLYF） and sequence 107 - 117 （ALKGETVNTH） were 0.0063 and 0.0036, respectively. Conclusion Sequence 96 - 110 （RGSDDDYSFCRALK） is the prevalent antigen epitope of MD-2.
出处
《免疫学杂志》
CAS
CSCD
北大核心
2006年第1期17-19,共3页
Immunological Journal
基金
国家重点基础研究发展规划"973"资助项目(G1999054203)
关键词
生物信息学
MD-2
抗原
表位
Bioinformatics
Myeloid differentiation protein-2
Antigen
Epitope
