Immunoinformatics, molecular modeling, and cancer vaccines

dc.contributor.author Mishra, Seema
dc.contributor.author Sinha, Subrata
dc.date.accessioned 2022-03-27T04:52:47Z
dc.date.available 2022-03-27T04:52:47Z
dc.date.issued 2014-01-01
dc.description.abstract Cancer vaccines are a natural way of fighting the development and progression of cancer as they harness the power of immune system to tweak it into killing cancerous cells. One of the most important agents in an immune system, the cytotoxic T cells (CTL), play a major role and the CTL epitopes in the form of an immunotherapeutic product have been shown to help mount an immune response towards tumor cell destruction. Immunoinformatics and molecular modeling tools have proven powerful towards the prediction of plausible CTL epitopes as well as other epitopes, cutting short the time and cost. We focus on the sequential methodology using these tools as well as some databases to generate a succinct list of enterprising subtype-specific or promiscuous peptide epitopes. © Springer Science+Business Media New York 2014.
dc.identifier.citation Methods in Molecular Biology. v.1184
dc.identifier.issn 10643745
dc.identifier.uri 10.1007/978-1-4939-1115-8_28
dc.identifier.uri http://link.springer.com/10.1007/978-1-4939-1115-8_28
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/7431
dc.subject Cancer vaccine
dc.subject Cytotoxic T cell
dc.subject Immunoinformatics
dc.subject MHC-binding epitopes
dc.subject Molecular modeling
dc.subject Peptide epitopes
dc.subject Proteasomal cleavage prediction
dc.subject TAP transporter-binding epitopes
dc.title Immunoinformatics, molecular modeling, and cancer vaccines
dc.type Book Series. Article
dspace.entity.type
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