Prediction of HLA-A 2.1-restricted CTL epitopes from IGFBP7 antigen of lung carcinoma
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Prediction of HLA-A 2.1-restricted CTL epitopes from IGFBP7 antigen of lung carcinoma
Prediction of HLA-A 2.1-restricted CTL epitopes from IGFBP7 antigen of lung carcinoma
解放军医学杂志(英文版)2009年24卷第2期 页码:63-68
Affiliations:
Author bio:
Funds:
Supported by the Special fund of the National High Technology Research and Development Program of China (863 Program,2007AA02Z129);the National Natural Science Foundation of China (30672076 and 30800506)
DOI:
中图分类号:R734.2
纸质出版:2009
Accepted:
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Prediction of HLA-A 2.1-restricted CTL epitopes from IGFBP7 antigen of lung carcinoma[J]. 解放军医学杂志(英文版), 2009,24(2):63-68.
[1].Prediction of HLA-A 2.1-restricted CTL epitopes from IGFBP7 antigen of lung carcinoma[J].Journal of Medical Colleges of PLA,2009,24(02):63-68.
Prediction of HLA-A 2.1-restricted CTL epitopes from IGFBP7 antigen of lung carcinoma[J]. 解放军医学杂志(英文版), 2009,24(2):63-68.DOI:
[1].Prediction of HLA-A 2.1-restricted CTL epitopes from IGFBP7 antigen of lung carcinoma[J].Journal of Medical Colleges of PLA,2009,24(02):63-68.DOI:
Prediction of HLA-A 2.1-restricted CTL epitopes from IGFBP7 antigen of lung carcinoma
摘要
Abstract
Objective:With the development of peptide-based cancer specific immunotherapy
the prediction of CTL epitopes from insulin-like growth factor-binding protein 7(IGFBP7) is very important for some research about tumor metastasis.Because HLA-A2.1-expressing individuals cover >50% in the population of China
we aimed at identifying IGFBP7-encoded peptide presented by HLA-A2.1.Methods:In our study
a HLA-A2.1 restricted CTL epitope was identified by using the following two-step procedure:(a) computer-based epitope prediction from the amino acid sequence of IGFBP7 antigen;(b) Validation with epitope molecular modeling.Results:We obtained four epitopes with high immunogenicity scores by all of the three algorithms
i.e.
BIMAS
SYFPEITHI and IMTECH.Each of the four candidates satisfied the criteria of the HLA-A2.1-restricted CTL epitopes in molecular modeling analysis.Conclusion:The combination of BIMAS
SYFPEITHI and IMTECH method can improve the prediction efficiency and accuracy.Due to this research herein
this four epitopes have potential value for further studied
also have potential application in peptide-mediated immunotherapy.These epitopes may be useful in the design of therapeutic peptide vaccine for lung carcinoma and as immunotherapeutic strategies against lung carcinoma after identified by immunology experiment.
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