Show simple item record

Computational vaccinology and the ICoVax 2012 workshop

dc.contributor.authorHe, Yongqun
dc.contributor.authorCao, Zhiwei
dc.contributor.authorDe Groot, Anne S
dc.contributor.authorBrusic, Vladimir
dc.contributor.authorSchönbach, Christian
dc.contributor.authorPetrovsky, Nikolai
dc.date.accessioned2015-08-07T17:32:34Z
dc.date.available2015-08-07T17:32:34Z
dc.date.issued2013-03-08
dc.identifier.citationBMC Bioinformatics. 2013 Mar 08;14(Suppl 4):I1
dc.identifier.urihttps://hdl.handle.net/2027.42/112516en_US
dc.description.abstractAbstract Computational vaccinology or vaccine informatics is an interdisciplinary field that addresses scientific and clinical questions in vaccinology using computational and informatics approaches. Computational vaccinology overlaps with many other fields such as immunoinformatics, reverse vaccinology, postlicensure vaccine research, vaccinomics, literature mining, and systems vaccinology. The second ISV Pre-conference Computational Vaccinology Workshop (ICoVax 2012) was held on October 13, 2013 in Shanghai, China. A number of topics were presented in the workshop, including allergen predictions, prediction of linear T cell epitopes and functional conformational epitopes, prediction of protein-ligand binding regions, vaccine design using reverse vaccinology, and case studies in computational vaccinology. Although a significant progress has been made to date, a number of challenges still exist in the field. This Editorial provides a list of major challenges for the future of computational vaccinology and identifies developing themes that will expand and evolve over the next few years.
dc.titleComputational vaccinology and the ICoVax 2012 workshop
dc.typeArticleen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/112516/1/12859_2013_Article_5721.pdf
dc.identifier.doi10.1186/1471-2105-14-S4-I1en_US
dc.language.rfc3066en
dc.rights.holderHe et al.; licensee BioMed Central Ltd.
dc.date.updated2015-08-07T17:32:34Z
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.