Jameson B A, Wolf H
Division of Biology, California Institute of Technology, Pasadena, CA 91125.
Comput Appl Biosci. 1988 Mar;4(1):181-6. doi: 10.1093/bioinformatics/4.1.181.
In this paper, we introduce a computer algorithm which can be used to predict the topological features of a protein directly from its primary amino acid sequence. The computer program generates values for surface accessibility parameters and combines these values with those obtained for regional backbone flexibility and predicted secondary structure. The output of this algorithm, the antigenic index, is used to create a linear surface contour profile of the protein. Because most, if not all, antigenic sites are located within surface exposed regions of a protein, the program offers a reliable means of predicting potential antigenic determinants. We have tested the ability of this program to generate accurate surface contour profiles and predict antigenic sites from the linear amino acid sequences of well-characterized proteins and found a strong correlation between the predictions of the antigenic index and known structural and biological data.
在本文中,我们介绍了一种计算机算法,该算法可用于直接从蛋白质的一级氨基酸序列预测其拓扑特征。该计算机程序生成表面可及性参数的值,并将这些值与从区域主链柔韧性和预测的二级结构获得的值相结合。该算法的输出,即抗原指数,用于创建蛋白质的线性表面轮廓图。由于大多数(如果不是全部的话)抗原位点位于蛋白质的表面暴露区域内,该程序提供了一种预测潜在抗原决定簇的可靠方法。我们测试了该程序从特征明确的蛋白质的线性氨基酸序列生成准确表面轮廓图并预测抗原位点的能力,发现抗原指数的预测与已知的结构和生物学数据之间存在很强的相关性。