FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2014927132> ?p ?o ?g. }

• W2014927132 endingPage "123" @default.
• W2014927132 startingPage "117" @default.
• W2014927132 abstract "Summary As the amount of biomedical information available in the literature continues to increase, databases that aggregate this information continue to grow in importance and scope. The population of databases can occur either through fully automated text mining approaches or through manual curation by human subject experts. We here report our experiences in populating the National Institute of Allergy and Infectious Diseases sponsored Immune Epitope Database and Analysis Resource ( IEDB , http://iedb.org ), which was created in 2003, and as of 2012 captures the epitope information from approximately 99% of all papers published to date that describe immune epitopes (with the exception of cancer and HIV data). This was achieved using a hybrid model based on automated document categorization and extensive human expert involvement. This task required automated scanning of over 22 million PubMed abstracts followed by classification and curation of over 13 000 references, including over 7000 infectious disease‐related manuscripts, over 1000 allergy‐related manuscripts, roughly 4000 related to autoimmunity, and 1000 transplant/alloantigen‐related manuscripts. The IEDB curation involves an unprecedented level of detail, capturing for each paper the actual experiments performed for each different epitope structure. Key to enabling this process was the extensive use of ontologies to ensure rigorous and consistent data representation as well as interoperability with other bioinformatics resources, including the Protein Data Bank, Chemical Entities of Biological Interest, and the NIAID Bioinformatics Resource Centers. A growing fraction of the IEDB data derives from direct submissions by research groups engaged in epitope discovery, and is being facilitated by the implementation of novel data submission tools. The present explosion of information contained in biological databases demands effective query and display capabilities to optimize the user experience. Accordingly, the development of original ways to query the database, on the basis of ontologically driven hierarchical trees, and display of epitope data in aggregate in a biologically intuitive yet rigorous fashion is now at the forefront of the IEDB efforts. We also highlight advances made in the realm of epitope analysis and predictive tools available in the IEDB ." @default.
• W2014927132 created "2016-06-24" @default.
• W2014927132 creator A5010966529 @default.
• W2014927132 creator A5023547268 @default.
• W2014927132 creator A5057695105 @default.
• W2014927132 creator A5088422039 @default.
• W2014927132 date "2012-09-04" @default.
• W2014927132 modified "2023-09-27" @default.
• W2014927132 title "The immune epitope database: a historical retrospective of the first decade" @default.
• W2014927132 cites W1543448539 @default.
• W2014927132 cites W1578778459 @default.
• W2014927132 cites W1844925375 @default.
• W2014927132 cites W1967494780 @default.
• W2014927132 cites W1976473459 @default.
• W2014927132 cites W1991461541 @default.
• W2014927132 cites W1993119069 @default.
• W2014927132 cites W2020384794 @default.
• W2014927132 cites W2021210077 @default.
• W2014927132 cites W2028339001 @default.
• W2014927132 cites W2043355127 @default.
• W2014927132 cites W2046060933 @default.
• W2014927132 cites W2053843590 @default.
• W2014927132 cites W2069492981 @default.
• W2014927132 cites W2070215035 @default.
• W2014927132 cites W2074002899 @default.
• W2014927132 cites W2094706980 @default.
• W2014927132 cites W2099500226 @default.
• W2014927132 cites W2100350770 @default.
• W2014927132 cites W2101772322 @default.
• W2014927132 cites W2110574412 @default.
• W2014927132 cites W2120399005 @default.
• W2014927132 cites W2122779464 @default.
• W2014927132 cites W2125644345 @default.
• W2014927132 cites W2125732073 @default.
• W2014927132 cites W2125904022 @default.
• W2014927132 cites W2128480987 @default.
• W2014927132 cites W2131107773 @default.
• W2014927132 cites W2134270883 @default.
• W2014927132 cites W2145514756 @default.
• W2014927132 cites W2149350146 @default.
• W2014927132 cites W2149378423 @default.
• W2014927132 cites W2149984099 @default.
• W2014927132 cites W2154509769 @default.
• W2014927132 cites W2160397907 @default.
• W2014927132 cites W2170441710 @default.
• W2014927132 cites W2948070562 @default.
• W2014927132 cites W4239551491 @default.
• W2014927132 cites W4244606935 @default.
• W2014927132 doi "https://doi.org/10.1111/j.1365-2567.2012.03611.x" @default.
• W2014927132 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3461392" @default.
• W2014927132 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22681406" @default.
• W2014927132 hasPublicationYear "2012" @default.
• W2014927132 type Work @default.
• W2014927132 sameAs 2014927132 @default.
• W2014927132 citedByCount "32" @default.
• W2014927132 countsByYear W20149271322012 @default.
• W2014927132 countsByYear W20149271322013 @default.
• W2014927132 countsByYear W20149271322014 @default.
• W2014927132 countsByYear W20149271322015 @default.
• W2014927132 countsByYear W20149271322016 @default.
• W2014927132 countsByYear W20149271322017 @default.
• W2014927132 countsByYear W20149271322018 @default.
• W2014927132 countsByYear W20149271322019 @default.
• W2014927132 countsByYear W20149271322020 @default.
• W2014927132 countsByYear W20149271322021 @default.
• W2014927132 crossrefType "journal-article" @default.
• W2014927132 hasAuthorship W2014927132A5010966529 @default.
• W2014927132 hasAuthorship W2014927132A5023547268 @default.
• W2014927132 hasAuthorship W2014927132A5057695105 @default.
• W2014927132 hasAuthorship W2014927132A5088422039 @default.
• W2014927132 hasBestOaLocation W20149271322 @default.
• W2014927132 hasConcept C104317684 @default.
• W2014927132 hasConcept C136764020 @default.
• W2014927132 hasConcept C147483822 @default.
• W2014927132 hasConcept C195616568 @default.
• W2014927132 hasConcept C20136886 @default.
• W2014927132 hasConcept C202264299 @default.
• W2014927132 hasConcept C203014093 @default.
• W2014927132 hasConcept C206345919 @default.
• W2014927132 hasConcept C20901353 @default.
• W2014927132 hasConcept C2522767166 @default.
• W2014927132 hasConcept C2908647359 @default.
• W2014927132 hasConcept C31258907 @default.
• W2014927132 hasConcept C41008148 @default.
• W2014927132 hasConcept C54355233 @default.
• W2014927132 hasConcept C60644358 @default.
• W2014927132 hasConcept C71924100 @default.
• W2014927132 hasConcept C77088390 @default.
• W2014927132 hasConcept C86803240 @default.
• W2014927132 hasConcept C91632574 @default.
• W2014927132 hasConcept C99454951 @default.
• W2014927132 hasConceptScore W2014927132C104317684 @default.
• W2014927132 hasConceptScore W2014927132C136764020 @default.
• W2014927132 hasConceptScore W2014927132C147483822 @default.
• W2014927132 hasConceptScore W2014927132C195616568 @default.
• W2014927132 hasConceptScore W2014927132C20136886 @default.
• W2014927132 hasConceptScore W2014927132C202264299 @default.
• W2014927132 hasConceptScore W2014927132C203014093 @default.

• next