Predictive estimation of protein linear epitopes by using the program PEOPLE
Predictive estimation of protein linear epitopes by using the program PEOPLE
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DOI：
10.1016/s0264-410x(99)00329-1
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发表时间：
1999-09-23
期刊：
影响因子：
5.5
通讯作者：
Alix, AJP
中科院分区：
文献类型：
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作者：
Alix, AJP
蛋白质的单个小片段（序列识别）或结构域（构象识别）可以作为抗原（抗原决定因素）而不是抗体。第一类表位是沿序列连续的片段（线性），通常弯曲，具有典型的非有序结构（转弯和/或环），可以从初级结构的唯一知识进行预测。在回顾了不同的算法之后，我们提出了PEOPLE（预测估计蛋白质线性表位），它使用组合预测方法，考虑到与理想表位相对应的基本特性：弯曲（二级结构主要是β -匝），表面可达性，亲水性以及移动和/或灵活。在测定抗原指数AG -二级结构时，考虑了四类基本生物物理参数；亲水性;表面可访问性;的灵活性。AG指数最终被定义为四类概况的线性组合。给出了典型应用。1999爱思唯尔科学有限公司版权所有。
A single small segment (sequence recognition) or domain (conformation recognition) of a protein could act as an antigen (antigenic determinant) vs an antibody. Epitopes of the first kind being a continuous segment along the sequence (linear), generally bent with a typical non-ordered structure (turns and/or loops), can be predicted from the only knowledge of the primary structure. After reviewing the different algorithms, we present PEOPLE (Predictive Estimation Of Protein Linear Epitopes) which uses combined prediction methods, taking into account the basic fundamental properties corresponding to what should be an ideal epitope: bent (secondary structure mainly beta-turns), surface accessible, hydrophilic and mobile and/or flexible. Four classes of basic biophysical parameters are considered for the determination of an antigenic index AG - secondary structure; hydrophilicity; surface accessibility; flexibility. The AG index is finally defined as a linear combination of the four class profiles. Typical applications are presented. (C) 1999 Elsevier Science Ltd. All rights reserved.