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Bioinformatics for cancer immunotherapy target discovery

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dc.contributor.author Olsen, Lars Rønn
dc.contributor.author Campos, Benito
dc.contributor.author Barnkob, Mike Stein
dc.contributor.author Winther, Ole
dc.contributor.author Brusic, Vladimir
dc.contributor.author Andersen, Mads Hald
dc.date.accessioned 2017-01-12T10:01:14Z
dc.date.available 2017-01-12T10:01:14Z
dc.date.issued 2014-12-04
dc.identifier.citation Olsen, L. R., Campos, B., Barnkob, M. S., Winther, O., Brusic, V., & Andersen, M. H. (2014). Bioinformatics for cancer immunotherapy target discovery. Cancer Immunology, Immunotherapy, 63(12), 1235-1249. DOI: 10.1007/s00262-014-1627-7 ru_RU
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/2257
dc.description.abstract The mechanisms of immune response to cancer have been studied extensively and great effort has been invested into harnessing the therapeutic potential of the immune system. Immunotherapies have seen significant advances in the past 20 years, but the full potential of protective and therapeutic cancer immunotherapies has yet to be fulfilled. The insufficient efficacy of existing treatments can be attributed to a number of biological and technical issues. In this review, we detail the current limitations of immunotherapy target selection and design, and review computational methods to streamline therapy target discovery in a bioinformatics analysis pipeline. We describe specialized bioinformatics tools and databases for three main bottlenecks in immunotherapy target discovery: the cataloging of potentially antigenic proteins, the identification of potential HLA binders, and the selection epitopes and co-targets for single-epitope and multi-epitope strategies. We provide examples of application to the well-known tumor antigen HER2 and suggest bioinformatics methods to ameliorate therapy resistance and ensure efficient and lasting control of tumors. ru_RU
dc.language.iso en ru_RU
dc.publisher Cancer Immunology, Immunotherapy ru_RU
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject biological databases ru_RU
dc.subject cancer vaccines ru_RU
dc.subject computational biology ru_RU
dc.subject T cell epitopes ru_RU
dc.subject tumor antigens ru_RU
dc.title Bioinformatics for cancer immunotherapy target discovery ru_RU
dc.type Article ru_RU


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