首页> 美国卫生研究院文献>World Journal of Gastroenterology >Prediction of HLA-A2-restricted CTL epitope specific to HCC by SYFPEITHI combined with polynomial method
【2h】

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

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

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:本研究选择MAGE-1,MAGE-3,MAGE-8,P53和AFP作为目标抗原与肝癌密切相关。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。多项式评分的阈值设置为-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,并选择每种蛋白质的十个高分肽进行初步预测。通过多项式分析,从初步预测结果中选出了35个CTL表位(九聚体)候选物,并与报道的CTL表位进行了比较。这些九聚体可能在设计用于HCC的治疗性肽疫苗中以及通过免疫学实验鉴定后作为针对HCC的免疫治疗策略有用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号