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1.
Objective To predict the HLA class Ⅰ restricted cytotoxic T lymphocyte epitopes for human proliferating cell nuclear antigen (PCNA). Methods By using 3 epitope prediction databases which including MHC binder ( BIMAS and SYFPEITHI databases) and proteasome cutting site ( PAProC databases), the epitopes of PCNA were predicted by analyzing several parameters and methods. Results After comprehensive analysis,we have obtained two possible HLA-A0201 restricted CTL epitopes SMSAD-VPLV (228-236, score 447 633. 595 ) and LINEACWDI ( 22-28, score 127 966.779);two HLA-A24 re-stricted CTL epitopos DYEMKLMDL ( 113-121, score 563 994.9 ) and EFARICRDL ( 143-151, score 40 540.7);two HLA-A1101 restricted CTL epitopes LTSMSKILK (72-80, score 1334. 2680 ) and DVPLV-VEYK (232-240,score 736.9236). Conclusion The multi-parameter epitope prediction method is feasi-ble for cytotoxic T lymphocyte epitope prediction.  相似文献   

2.
Objective To predict the HLA class Ⅰ restricted cytotoxic T lymphocyte epitopes for human proliferating cell nuclear antigen (PCNA). Methods By using 3 epitope prediction databases which including MHC binder ( BIMAS and SYFPEITHI databases) and proteasome cutting site ( PAProC databases), the epitopes of PCNA were predicted by analyzing several parameters and methods. Results After comprehensive analysis,we have obtained two possible HLA-A0201 restricted CTL epitopes SMSAD-VPLV (228-236, score 447 633. 595 ) and LINEACWDI ( 22-28, score 127 966.779);two HLA-A24 re-stricted CTL epitopos DYEMKLMDL ( 113-121, score 563 994.9 ) and EFARICRDL ( 143-151, score 40 540.7);two HLA-A1101 restricted CTL epitopes LTSMSKILK (72-80, score 1334. 2680 ) and DVPLV-VEYK (232-240,score 736.9236). Conclusion The multi-parameter epitope prediction method is feasi-ble for cytotoxic T lymphocyte epitope prediction.  相似文献   

3.
Objective To predict the HLA class Ⅰ restricted cytotoxic T lymphocyte epitopes for human proliferating cell nuclear antigen (PCNA). Methods By using 3 epitope prediction databases which including MHC binder ( BIMAS and SYFPEITHI databases) and proteasome cutting site ( PAProC databases), the epitopes of PCNA were predicted by analyzing several parameters and methods. Results After comprehensive analysis,we have obtained two possible HLA-A0201 restricted CTL epitopes SMSAD-VPLV (228-236, score 447 633. 595 ) and LINEACWDI ( 22-28, score 127 966.779);two HLA-A24 re-stricted CTL epitopos DYEMKLMDL ( 113-121, score 563 994.9 ) and EFARICRDL ( 143-151, score 40 540.7);two HLA-A1101 restricted CTL epitopes LTSMSKILK (72-80, score 1334. 2680 ) and DVPLV-VEYK (232-240,score 736.9236). Conclusion The multi-parameter epitope prediction method is feasi-ble for cytotoxic T lymphocyte epitope prediction.  相似文献   

4.
Objective To predict the HLA class Ⅰ restricted cytotoxic T lymphocyte epitopes for human proliferating cell nuclear antigen (PCNA). Methods By using 3 epitope prediction databases which including MHC binder ( BIMAS and SYFPEITHI databases) and proteasome cutting site ( PAProC databases), the epitopes of PCNA were predicted by analyzing several parameters and methods. Results After comprehensive analysis,we have obtained two possible HLA-A0201 restricted CTL epitopes SMSAD-VPLV (228-236, score 447 633. 595 ) and LINEACWDI ( 22-28, score 127 966.779);two HLA-A24 re-stricted CTL epitopos DYEMKLMDL ( 113-121, score 563 994.9 ) and EFARICRDL ( 143-151, score 40 540.7);two HLA-A1101 restricted CTL epitopes LTSMSKILK (72-80, score 1334. 2680 ) and DVPLV-VEYK (232-240,score 736.9236). Conclusion The multi-parameter epitope prediction method is feasi-ble for cytotoxic T lymphocyte epitope prediction.  相似文献   

5.
Objective To predict the HLA class Ⅰ restricted cytotoxic T lymphocyte epitopes for human proliferating cell nuclear antigen (PCNA). Methods By using 3 epitope prediction databases which including MHC binder ( BIMAS and SYFPEITHI databases) and proteasome cutting site ( PAProC databases), the epitopes of PCNA were predicted by analyzing several parameters and methods. Results After comprehensive analysis,we have obtained two possible HLA-A0201 restricted CTL epitopes SMSAD-VPLV (228-236, score 447 633. 595 ) and LINEACWDI ( 22-28, score 127 966.779);two HLA-A24 re-stricted CTL epitopos DYEMKLMDL ( 113-121, score 563 994.9 ) and EFARICRDL ( 143-151, score 40 540.7);two HLA-A1101 restricted CTL epitopes LTSMSKILK (72-80, score 1334. 2680 ) and DVPLV-VEYK (232-240,score 736.9236). Conclusion The multi-parameter epitope prediction method is feasi-ble for cytotoxic T lymphocyte epitope prediction.  相似文献   

6.
Objective To predict the HLA class Ⅰ restricted cytotoxic T lymphocyte epitopes for human proliferating cell nuclear antigen (PCNA). Methods By using 3 epitope prediction databases which including MHC binder ( BIMAS and SYFPEITHI databases) and proteasome cutting site ( PAProC databases), the epitopes of PCNA were predicted by analyzing several parameters and methods. Results After comprehensive analysis,we have obtained two possible HLA-A0201 restricted CTL epitopes SMSAD-VPLV (228-236, score 447 633. 595 ) and LINEACWDI ( 22-28, score 127 966.779);two HLA-A24 re-stricted CTL epitopos DYEMKLMDL ( 113-121, score 563 994.9 ) and EFARICRDL ( 143-151, score 40 540.7);two HLA-A1101 restricted CTL epitopes LTSMSKILK (72-80, score 1334. 2680 ) and DVPLV-VEYK (232-240,score 736.9236). Conclusion The multi-parameter epitope prediction method is feasi-ble for cytotoxic T lymphocyte epitope prediction.  相似文献   

7.
Objective To predict the HLA class Ⅰ restricted cytotoxic T lymphocyte epitopes for human proliferating cell nuclear antigen (PCNA). Methods By using 3 epitope prediction databases which including MHC binder ( BIMAS and SYFPEITHI databases) and proteasome cutting site ( PAProC databases), the epitopes of PCNA were predicted by analyzing several parameters and methods. Results After comprehensive analysis,we have obtained two possible HLA-A0201 restricted CTL epitopes SMSAD-VPLV (228-236, score 447 633. 595 ) and LINEACWDI ( 22-28, score 127 966.779);two HLA-A24 re-stricted CTL epitopos DYEMKLMDL ( 113-121, score 563 994.9 ) and EFARICRDL ( 143-151, score 40 540.7);two HLA-A1101 restricted CTL epitopes LTSMSKILK (72-80, score 1334. 2680 ) and DVPLV-VEYK (232-240,score 736.9236). Conclusion The multi-parameter epitope prediction method is feasi-ble for cytotoxic T lymphocyte epitope prediction.  相似文献   

8.
Objective To predict the HLA class Ⅰ restricted cytotoxic T lymphocyte epitopes for human proliferating cell nuclear antigen (PCNA). Methods By using 3 epitope prediction databases which including MHC binder ( BIMAS and SYFPEITHI databases) and proteasome cutting site ( PAProC databases), the epitopes of PCNA were predicted by analyzing several parameters and methods. Results After comprehensive analysis,we have obtained two possible HLA-A0201 restricted CTL epitopes SMSAD-VPLV (228-236, score 447 633. 595 ) and LINEACWDI ( 22-28, score 127 966.779);two HLA-A24 re-stricted CTL epitopos DYEMKLMDL ( 113-121, score 563 994.9 ) and EFARICRDL ( 143-151, score 40 540.7);two HLA-A1101 restricted CTL epitopes LTSMSKILK (72-80, score 1334. 2680 ) and DVPLV-VEYK (232-240,score 736.9236). Conclusion The multi-parameter epitope prediction method is feasi-ble for cytotoxic T lymphocyte epitope prediction.  相似文献   

9.
Objective To predict the HLA class Ⅰ restricted cytotoxic T lymphocyte epitopes for human proliferating cell nuclear antigen (PCNA). Methods By using 3 epitope prediction databases which including MHC binder ( BIMAS and SYFPEITHI databases) and proteasome cutting site ( PAProC databases), the epitopes of PCNA were predicted by analyzing several parameters and methods. Results After comprehensive analysis,we have obtained two possible HLA-A0201 restricted CTL epitopes SMSAD-VPLV (228-236, score 447 633. 595 ) and LINEACWDI ( 22-28, score 127 966.779);two HLA-A24 re-stricted CTL epitopos DYEMKLMDL ( 113-121, score 563 994.9 ) and EFARICRDL ( 143-151, score 40 540.7);two HLA-A1101 restricted CTL epitopes LTSMSKILK (72-80, score 1334. 2680 ) and DVPLV-VEYK (232-240,score 736.9236). Conclusion The multi-parameter epitope prediction method is feasi-ble for cytotoxic T lymphocyte epitope prediction.  相似文献   

10.
目的 预测人增殖细胞核抗原(PCNA)的HLA-Ⅰ类分子限制性细胞毒T淋巴细胞(CTL)表位.方法 使用基于矩阵法预测表位的BIMAS和SYFPEITHI数据库,以及基于蛋白体酶切割位点预测表位的PAProC数据库,对人肿瘤PCNA抗原的CTL表位综合评分.结果 得到针对HLA-A0201的位于PCNA氨基酸序列228~236(SMSADVPLV,分值为447 633.595)和22~30(LINEACWDI,分值为127 966.779)位置的两个可能表位;针对HLA-A24的位于113~121(DYEMKLMDL,分值为563 994.9)和143.151(EFARICRDL,分值为40540.7)的两个可能表位;针对HLA-A1101的位于72~80(LTSMSKILK,分值为1334.2680)和232~240(DVPLVVEYK,分值为736.9236)的两个可能表位.结论 实验提供了肿瘤抗原表位的多参数预测方法,为应用PCNA肽表位制备肿瘤疫苗奠定了基础.  相似文献   

11.
目的 鉴定肿瘤增殖细胞核抗原(PCNA)的人白细胞抗原(HLA)-A2限制性细胞毒T淋巴细胞(CTL)表位,为肿瘤疫苗制备提供依据.方法 根据PCNACTL表位评分结果,合成8条候选肽;采用经典T2-肽结合实验检测候选肽与HLA-A2分子亲和力;采用酶联免疫斑点法(ELISPOT)检测候选肽刺激的HLA-A2阳性CTL分泌干扰素(IFN)-γ能力.结果 T2-肽结合实验结果显示PCNA 14-22、110-118位置候选肽与HLA-A2分子结合力较强,其荧光系数FI值最高,分别为0.30和0.34,显著高于其他候选肽.ELISPOT检测结果显示14-22和39-47位置候选肽形成的IFN-γ斑点数目(477.25±52.08、640.50±145.74)明显高于阴性对照(0.75±0.50)及其余候选肽.结论 PCNA抗原14-22位置候选肽KVLEALKDL可作为HLA-A2限制性CTL表位用于制备肿瘤疫苗.  相似文献   

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