Van Regenmortel M H, Daney de Marcillac G
Laboratoire d'Immunochimie, Institut de Biologie Moléculaire et Cellulaire du CNRS, Strasbourg, France.
Immunol Lett. 1988 Feb;17(2):95-107. doi: 10.1016/0165-2478(88)90076-4.
Many attempts have been made to predict the position of antigenic sites in proteins from certain features of their primary structure. Parameters such as the hydrophilicity, static accessibility and mobility of short segments of polypeptide chains have been correlated with the location of continuous epitopes in proteins. Relative scales describing the structural propensity of each of the 20 amino acids have been derived and these are commonly used for constructing structural prediction profiles and for locating the position of epitopes. The predictive value of algorithms based on eight such scales has been compared in the present study, using as antigenicity data base the location of 29 continuous epitopes in four model proteins. A chi 2 statistical analysis showed that a segmental mobility scale and a hydrophilicity scale based on peptide retention times during chromatography gave the highest level of correct predictions.
人们已多次尝试根据蛋白质一级结构的某些特征来预测其抗原位点的位置。多肽链短片段的亲水性、静态可及性和流动性等参数已与蛋白质中连续表位的位置相关联。已经得出了描述20种氨基酸各自结构倾向的相对量表,这些量表通常用于构建结构预测图谱以及确定表位的位置。在本研究中,使用四种模型蛋白中29个连续表位的位置作为抗原性数据库,比较了基于八种此类量表的算法的预测价值。卡方统计分析表明,基于色谱过程中肽保留时间的片段迁移率量表和亲水性量表给出的正确预测水平最高。