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通过生物信息学方法预测疟原虫裂殖子表面蛋白1的表位:进一步疫苗研发的线索

Predicted epitopes of malarial merozoite surface protein 1 by bioinformatics method: a clue for further vaccine development.

作者信息

Wiwanitkit Viroj

机构信息

Department of Clinical Laboratory Medicine, Faculty of Medicine, Wiwanitkit House, Bangkok, Thailand.

出版信息

J Microbiol Immunol Infect. 2009 Feb;42(1):19-21.

Abstract

BACKGROUND AND PURPOSE

Malarial merozoite surface protein 1 (MSP-1) may have value as a protective immunogen in novel vaccines against malaria. This study was performed to find potential T-cell epitopes for MSP-1 of Plasmodium vivax.

METHODS

Computation analysis of available MSP-1 of the P. vivax malaria sequence was performed to find potential T-cell epitopes using MHCPred version 2.0. Alleles for binding affinity prediction were selected and the peptides with the best binding affinities for each allele were investigated.

RESULTS

The peptides with the best predicted binding affinities were human leukocyte antigen (HLA)-DRB0101, HLA-A0203, and HLA-DRB0701, which showed significantly lower 50% inhibitory concentration values than the other alleles.

CONCLUSION

These data are useful for further vaccine development because the promiscuous peptide binders enable reduction of the number of predicted epitopes without compromising the population coverage required for vaccine design.

摘要

背景与目的

疟原虫裂殖子表面蛋白1(MSP-1)作为新型疟疾疫苗中的保护性免疫原可能具有价值。本研究旨在寻找间日疟原虫MSP-1的潜在T细胞表位。

方法

使用MHCPred 2.0版本对间日疟原虫疟疾序列中可用的MSP-1进行计算分析,以寻找潜在的T细胞表位。选择用于结合亲和力预测的等位基因,并研究与每个等位基因具有最佳结合亲和力的肽段。

结果

预测结合亲和力最佳的肽段为人白细胞抗原(HLA)-DRB0101、HLA-A0203和HLA-DRB0701,其50%抑制浓度值显著低于其他等位基因。

结论

这些数据对进一步的疫苗开发有用,因为多聚肽结合物能够减少预测表位的数量,同时又不影响疫苗设计所需的人群覆盖率。

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