ArticleJournal of biomedical semantics2011
Brucellosis Ontology (IDOBRU) as an extension of the Infectious Disease Ontology.
Article in Journal of biomedical semantics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 40 citations in OpenAlex.
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- An Ontology to Bridge the Clinical Management of Patients and Public Health Responses for Strengthening Infectious Disease Surveillance: Design Science Study.JMIR formative research · 2024Article
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- Assessing the Need for Semantic Data Integration for Surgical Biobanks-A Knowledge Representation Perspective.Journal of personalized medicine · 2022Article
- The Infectious Disease Ontology in the age of COVID-19.Journal of biomedical semantics · 2021Article
- An Overview of Biomedical Ontologies for Pandemics and Infectious Diseases Representation.Procedia computer science · 2021Article
- Combining expert knowledge and knowledge automatically acquired from electronic data sources for continued ontology evaluation and improvement.Journal of biomedical informatics · 2015Article
- Pathogenesis and immunobiology of brucellosis: review of Brucella-host interactions.The American journal of pathology · 2015Review
- Describing the breakbone fever: IDODEN, an ontology for dengue fever.PLoS neglected tropical diseases · 2015Article
- Literature Mining and Ontology based Analysis of Host-Brucella Gene-Gene Interaction Network.Frontiers in microbiology · 2015Article
- Ontology-based representation and analysis of host-Brucella interactions.Journal of biomedical semantics · 2015Article
- Design and evaluation of a bacterial clinical infectious diseases ontology.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013Article
- Analyses of Brucella pathogenesis, host immunity, and vaccine targets using systems biology and bioinformatics.Frontiers in cellular and infection microbiology · 2012Review
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCaused by intracellular Gram-negative bacteria Brucella spp., brucellosis is the most common bacterial zoonotic disease. Extensive studies in brucellosis have yielded a large number of publications and data covering various topics ranging from basic Brucella genetic study to vaccine clinical trials. To support data interoperability and reasoning, a community-based brucellosis-specific biomedical ontology is needed.
resultsThe Brucellosis Ontology (IDOBRU: http://sourceforge.net/projects/idobru), a biomedical ontology in the brucellosis domain, is an extension ontology of the core Infectious Disease Ontology (IDO-core) and follows OBO Foundry principles. Currently IDOBRU contains 1503 ontology terms, which includes 739 Brucella-specific terms, 414 IDO-core terms, and 350 terms imported from 10 existing ontologies. IDOBRU has been used to model different aspects of brucellosis, including host infection, zoonotic disease transmission, symptoms, virulence factors and pathogenesis, diagnosis, intentional release, vaccine prevention, and treatment. Case studies are typically used in our IDOBRU modeling. For example, diurnal temperature variation in Brucella patients, a Brucella-specific PCR method, and a WHO-recommended brucellosis treatment were selected as use cases to model brucellosis symptom, diagnosis, and treatment, respectively. Developed using OWL, IDOBRU supports OWL-based ontological reasoning. For example, by performing a Description Logic (DL) query in the OWL editor Protégé 4 or a SPARQL query in an IDOBRU SPARQL server, a check of Brucella virulence factors showed that eight of them are known protective antigens based on the biological knowledge captured within the ontology.
conclusionsIDOBRU is the first reported bacterial infectious disease ontology developed to represent different disease aspects in a formal logical format. It serves as a brucellosis knowledgebase and supports brucellosis data integration and automated reasoning.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.