About: Modeling the adaptive immune system: predictions and simulations

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About: Modeling the adaptive immune system: predictions and simulations Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Modeling the adaptive immune system: predictions and simulations
Creator	Brunak, Søren Lund, Ole Nielsen, Morten Lundegaard, Claus Kes¸mir, Can
Source	PMC
abstract	Motivation: Immunological bioinformatics methods are applicable to a broad range of scientific areas. The specifics of how and where they might be implemented have recently been reviewed in the literature. However, the background and concerns for selecting between the different available methods have so far not been adequately covered. Summary: Before using predictions systems, it is necessary to not only understand how the methods are constructed but also their strength and limitations. The prediction systems in humoral epitope discovery are still in their infancy, but have reached a reasonable level of predictive strength. In cellular immunology, MHC class I binding predictions are now very strong and cover most of the known HLA specificities. These systems work well for epitope discovery, and predictions of the MHC class I pathway have been further improved by integration with state-of-the-art prediction tools for proteasomal cleavage and TAP binding. By comparison, class II MHC binding predictions have not developed to a comparable accuracy level, but new tools have emerged that deliver significantly improved predictions not only in terms of accuracy, but also in MHC specificity coverage. Simulation systems and mathematical modeling are also now beginning to reach a level where these methods will be able to answer more complex immunological questions. Contact: lunde@cbs.dtu.dk Supplementary information: Supplementary data are available at Bioinformatics online.
has issue date	2007-12-15(xsd:dateTime)
bibo:doi	10.1093/bioinformatics/btm471
bibo:pmid	18045832
has license	cc-by-nc
sha1sum (hex)	3d7bca5d4a7d45b2e26696bccf0c02efc54e4c03
schema:url	https://doi.org/10.1093/bioinformatics/btm471
resource representing a document's title	Modeling the adaptive immune system: predictions and simulations
has PubMed Central identifier	PMC7110254
has PubMed identifier	18045832
schema:publication	Bioinformatics
resource representing a document's body	covid:3d7bca5d4a7d45b2e26696bccf0c02efc54e4c03#body_text
is schema:about of	named entity 'MODELING' named entity 'SPECIFICITY' named entity 'LEVEL' named entity 'BROAD' named entity 'ACCURACY' named entity 'RECENTLY' named entity 'TOOLS' named entity 'HLA' named entity 'IMPROVED BY' named entity 'DISCOVERY' named entity 'CONCERNS' named entity 'MOTIVATION' named entity 'SYSTEMS' named entity 'PREDICTIONS' named entity 'OF-' named entity 'COVER' named entity 'HAVE' named entity 'MIGHT BE' named entity 'CELLULAR IMMUNOLOGY' named entity 'PREDICTION' named entity 'SPECIFICITIES' named entity 'COMPARISON' named entity 'systems' named entity 'adaptive immune system' named entity 'PREDICTIONS' named entity 'STRENGTH' named entity 'AVAILABLE' named entity 'REVIEWED' named entity 'SCIENTIFIC' named entity 'NECESSARY' named entity 'VERY STRONG' named entity 'AREAS' named entity 'ADAPTIVE IMMUNE SYSTEM' named entity 'COVERAGE' named entity 'NEW' named entity 'LITERATURE' named entity 'CLASS II MHC' named entity 'WHERE' named entity 'CLEAVAGE' named entity 'WORK' named entity 'SIMULATIONS' named entity 'COVERED' named entity 'IMPROVED' named entity 'EPITOPE' named entity 'STATE' named entity 'APPLICABLE' named entity 'UNDERSTAND' named entity 'THESE' named entity 'KNOWN' named entity 'USING' named entity 'HOW' named entity 'METHODS' named entity 'REACH' named entity 'DELIVER' named entity 'SPECIFICS' named entity 'MHC CLASS I' named entity 'IMPLEMENTED' named entity 'THEIR' named entity 'BEGINNING' named entity 'INTEGRATION' named entity 'RANGE' named entity 'IMMUNOLOGICAL' named entity 'PREDICTIVE' named entity 'SELECTING' named entity 'LIMITATIONS' named entity 'ART' named entity 'MHC CLASS I PATHWAY' named entity 'ANSWER' named entity 'BIOINFORMATICS' named entity 'TERMS' named entity 'MATHEMATICAL MODELING' named entity 'SIMULATION' named entity 'CONSTRUCTED' named entity 'COMPLEX' named entity 'SUMMARY' named entity 'BUT' named entity 'MHC'

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