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Issue 11, 2017
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Computational study on the origin of the cancer immunotherapeutic potential of B and T cell epitope peptides

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Abstract

Immune therapy is generally seen as the future of cancer treatment. The discovery of tumor-associated antigens and cytotoxic T lymphocyte epitope peptides spurned intensive research into effective peptide-based cancer vaccines. One of the major obstacles hindering the development of peptide-based cancer vaccines is the lack of humoral response induction. As of now, very limited work has been performed to identify epitope peptides capable of inducing both cellular and humoral anticancer responses. In addition, no research has been carried out to analyze the structure and properties of peptides responsible for such immunological activities. This study utilizes a machine learning method together with interpretable descriptors in an attempt to identify parameters determining the immunotherapeutic activity of cancer epitope peptides.

Graphical abstract: Computational study on the origin of the cancer immunotherapeutic potential of B and T cell epitope peptides

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Publication details

The article was received on 12 Apr 2017, accepted on 24 Aug 2017 and first published on 07 Sep 2017


Article type: Paper
DOI: 10.1039/C7MB00219J
Citation: Mol. BioSyst., 2017,13, 2310-2322
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    Computational study on the origin of the cancer immunotherapeutic potential of B and T cell epitope peptides

    H. Li, N. Schaduangrat, S. Simeon and C. Nantasenamat, Mol. BioSyst., 2017, 13, 2310
    DOI: 10.1039/C7MB00219J

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