Can software be used to predict antigenic regions in Plasmodium falciparum peptides?
Can software be used to predict antigenic regions in Plasmodium falciparum peptides?
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DOI：
10.1046/j.1365-3024.1996.d01-62.x
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发表时间：
1996-03-01
影响因子：
2.2
通讯作者：
DanielRibeiro, CT
中科院分区：
文献类型：
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作者：
FerreiraDaCruz, MDF;GiovannideSimone, S;DanielRibeiro, CT
我们将 p126 恶性疟原虫肽的抗原性与使用 Garnier 等人描述的方法鉴定的预测抗原区域进行了比较。 (1978) 以及周和法斯曼 (1974)。为此，根据 p126 基因推导的氨基酸序列合成了九种不同的恶性疟原虫肽，并使用酶联免疫吸附测定法针对自然疟疾感染个体的血清测试了它们的反应性。两种预测方法都给出了相似的抗原指数评分，然而，将这些预测结果与 ELISA 获得的数据进行比较表明，两种情况的正确预测概率仅为 45% 左右。因此，我们认为计算机软件不能单独用于筛选目的，在使用此类软件评估抗原性时还必须考虑其他参数。
We compared the antigenicity of p126 Plasmodium falciparum peptides with predicted antigenic regions identified using the methods described by Garnier et al. (1978) and Chou & Fasman (1974). For this purpose nine different P. falciparum peptides were synthesized in accordance with the deduced amino acid sequence of the p126 gene, and their reactivity was tested using an enzyme linked immunosorbent assay against sera from individuals with a natural malaria infection. Both predictive methods gave similar antigenic-index scores, however, a comparison of these predictive results with data obtained by ELISA showed that the probability of a correct prediction was only around 45% for both cases. Thus, in our view computer softwares could not be used in isolation for screening purposes, and other parameters must also be taken into account when using such software to assess antigenicity.