高等学校化学学报

高等学校化学学报 ›› 2003, Vol. 24 ›› Issue (5): 826.

• 论文 • 上一篇    下一篇

多肽序列的结构特征与其MHC限制性

林治华1,2, 吴玉章2, 万瑛2, 倪兵2   

  1. 1. 重庆工学院生物工程学院, 重庆 400050;
    2. 第三军医大学基础部全军免疫研究所, 重庆 400038
  • 收稿日期:2002-04-25 出版日期:2003-05-24 发布日期:2003-05-24
  • 通讯作者: 吴玉章(1963年出生),男,博士,教授,主要从事免疫识别、分子设计与抗原工程方面的研究.E-mail:wuyuzhang@yahoo.com E-mail:wuyuzhang@yahoo.com
  • 基金资助:

    国家重点研究项目(批准号:2001CB510001)资助

Structural Characteristic and MHC Restriction of Polypeptide Sequence

LIN Zhi-Hua1,2, WU Yu-Zhang2, WAN Ying2, NI Bing2   

  1. 1. College of Bioengineering, Chongqing Institute of Technology, Chongqing 400050, China;
    2. Institute of Immunology, PLA, Third Military Medical University, Chongqing 400038, China
  • Received:2002-04-25 Online:2003-05-24 Published:2003-05-24

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被引次数

13

摘要： 从多肽序列的一级结构出发,基于多肽序列中氨基酸侧链间距离和氨基酸侧链的电性特征,构建了多肽序列特征矢量,简称ζ矢量,选取文献中主要组织相容性复合物(MHC)中的14个Ad限制性和14个非Ad限制性多肽序列作为训练集建立辅助性T细胞(helperTlymphocytc,Th)表位预测的定量模型,为了检验该预报系统的精确性,进行了随机抽样检验和交互检验.结果表明,该预报系统具有稳定性好、预测能力强的特点,该方法可用于人的MHCⅠ和Ⅱ类表位的预测、蛋白质抗原免疫识别、亚单位疫苗分子设计及研制.

关键词: 表位预测, MHC限制性, 拓扑特征, 序列特征矢量

Abstract: The goal of this study is to develop an automated computerized method for the identification of helper T-cell epitope. In order to describe the peptide structure, a new set of descriptors called sequence property vector(ξ) was developed from the primary structures of peptides based on the distance between amino acid side chains and on the electric property of each amino acid side chain, and looking on each amino acid side chain as a pseudo atom. Then a quantitative model was proposed for 28 immunogenic pep-tides including 14 Adand non-Adrestricted peptide sequence, assigned active and inactive peptides, respectively. In order to explain the accuracy of the prediction system, random sampling validation and cross validation were performed. The results showed that the prediction system exhibited a good stability and excellent prediction ability. This method may also be applied in the study to predict the MHC classes Iand Iepitope of human, and it should be useful in immune recognition studies of protein antigens and the design and study of subunit vaccine.

Key words: Epitope prediction, MHC restriction, Topological characteristic, Sequence property vector

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