首页> 外文期刊>World Journal of Gastroenterology >Prediction of HLA-A2-restricted CTL epitope specific to HCC by SYFPEITHI combined with polynomial method.
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Prediction of HLA-A2-restricted CTL epitope specific to HCC by SYFPEITHI combined with polynomial method.

机译:SYFPEITHI结合多项式方法预测HCC特异的HLA-A2限制性CTL表位。

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AIM: To predict the HLA-A2-restricted CTL epitopes of tumor antigens associated with hepatocellular carcinoma (HCC). METHODS: MAGE-1, MAGE-3, MAGE-8, P53 and AFP were selected as objective antigens in this study for the close association with HCC. The HLA-A*0201 restricted CTL epitopes of objective tumor antigens were predicted by SYFPEITHI prediction method combined with the polynomial quantitative motifs method. The threshold of polynomial scores was set to -24. RESULTS: The SYFPEITHI prediction values of all possible nonamers of a given protein sequence were added together and the ten high-scoring peptides of each protein were chosen for further analysis in primary prediction. Thirty-five candidates of CTL epitopes (nonamers) derived from the primary prediction results were selected by analyzing with the polynomial method and compared with reported CTL epitopes. CONCLUSION: The combination of SYFPEITHI prediction method and polynomial method can improve the prediction efficiency and accuracy. These nonamers may be useful in the design of therapeutic peptide vaccine for HCC and as immunotherapeutic strategies against HCC after identified by immunology experiment.
机译:目的:预测与肝细胞癌(HCC)相关的肿瘤抗原的HLA-A2限制性CTL表位。方法:选择MAGE-1,MAGE-3,MAGE-8,P53和AFP作为与HCC密切相关的目标抗原。通过SYFPEITHI预测方法结合多项式定量基序方法预测了目标肿瘤抗原的HLA-A * 0201限制性CTL表位。多项式分数的阈值设置为-24。结果:将给定蛋白质序列的所有可能的九分异构体的SYFPEITHI预测值加在一起,并为每种蛋白质选择了十个高分肽,以用于初步预测中的进一步分析。通过多项式分析方法,从最初的预测结果中选出了35个CTL表位(九聚体)候选物,并与报告的CTL表位进行了比较。结论:SYFPEITHI预测方法和多项式方法相结合可以提高预测效率和准确性。这些九聚体可能在设计用于HCC的治疗性肽疫苗以及通过免疫学实验鉴定后作为针对HCC的免疫治疗策略方面有用。

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