The antigenic index: a novel algorithm for predicting antigenic determinants
The antigenic index: a novel algorithm for predicting antigenic determinants
复制标题
DOI：
10.1093/bioinformatics/4.1.181
复制
发表时间：
1988-03
期刊：
影响因子：
--
通讯作者：
B. Jameson;H. Wolf
中科院分区：
文献类型：
--
作者：
B. Jameson;H. Wolf
本文介绍了一种直接从蛋白质一级氨基酸序列预测蛋白质拓扑结构的计算机算法。计算机程序生成表面可及性参数的值，并将这些值与区域主链柔性和预测的二级结构所获得的值相结合。该算法的输出，抗原指数，用于创建蛋白质的线性表面轮廓。由于大多数（如果不是全部）抗原位点位于蛋白质的表面暴露区域内，因此该程序提供了预测潜在抗原决定簇的可靠方法。我们已经测试了该程序的能力，以产生准确的表面轮廓轮廓和预测抗原位点的线性氨基酸序列的特征蛋白质，并发现抗原指数的预测和已知的结构和生物学数据之间的强相关性。
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.