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Title: Computational study on the origin of the cancer immunotherapeutic potential of B and T cell epitope peptides
Authors: Hao Li
Nalini Schaduangrat
Saw Simeon
Chanin Nantasenamat
Mahidol University
Kasetsart University
Keywords: Biochemistry, Genetics and Molecular Biology
Issue Date: 1-Jan-2017
Citation: Molecular BioSystems. Vol.13, No.11 (2017), 2310-2322
Abstract: © 2017 The Royal Society of Chemistry. 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.
ISSN: 17422051
Appears in Collections:Scopus 2016-2017

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