<i>In silico</i> and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.-论文-万方医学网

作者： Julien,Schmidt ^[1] ; Philippe,Guillaume ^[1] ; Danijel,Dojcinovic ^[1] ; Julia,Karbach ^[2] ; George,Coukos ^[3] ; Immanuel,Luescher ^[4]

作者单位： Ludwig Institute for Cancer Research, University of Lausanne, 1066 Epalinges, Switzerland. ^[1] Krankenhaus Nordwest, 60488 Frankfurt, Germany. ^[2] Ludwig Institute for Cancer Research, University of Lausanne, 1066 Epalinges, Switzerland; Department of Oncology, University Hospital of Lausanne, 1011 Lausanne, Switzerland. ^[3] Ludwig Institute for Cancer Research, University of Lausanne, 1066 Epalinges, Switzerland. Electronic address: immanuel.luescher@unil.ch. ^[4]

主题词动物(Animals);抗原, 肿瘤(Antigens, Neoplasm);人工智能(Artificial Intelligence);癌症疫苗(Cancer Vaccines);细胞, 培养的(Cells, Cultured);计算生物学(Computational Biology);表位(Epitopes);专家系统(Expert Systems);HLA-A2抗原(HLA-A2 Antigen);人类(Humans);黑色素瘤(Melanoma);膜蛋白质类(Membrane Proteins);小鼠, 基因敲除(Mice, Knockout);小鼠, 转基因(Mice, Transgenic);模型, 免疫学(Models, Immunological);肿瘤蛋白质类(Neoplasm Proteins);寡肽类(Oligopeptides);肽碎片(Peptide Fragments);蛋白质重折叠(Protein Refolding);蛋白质稳定性(Protein Stability);结果可重复性(Reproducibility of Results);T淋巴细胞, 细胞毒性(T-Lymphocytes, Cytotoxic);疫苗, 合成(Vaccines, Synthetic)

DOI 10.1074/jbc.M117.789511

PMID 28536262

发布时间 2021-03-14

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<i>In silico</i> and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.

The Journal of biological chemistry

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The Journal of biological chemistry

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<i>In silico</i> and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.

The Journal of biological chemistry

相似文献

The Journal of biological chemistry

相关期刊

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