Cido

Civil Society Division.

Thank you for visiting nature. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. The Coronavirus Infectious Disease Ontology CIDO is a community-based ontology that supports coronavirus disease knowledge and data standardization, integration, sharing, and analysis. Ontologies, as the term is used in informatics, are structured vocabularies comprised of human- and computer-interpretable terms and relations that represent entities and relationships. Within informatics fields, ontologies play an important role in knowledge and data standardization, representation, integration, sharing and analysis.

Cido

The Coronavirus Infectious Disease Ontology CIDO aims to ontologically represent and standardize various aspects of coronavirus infectious diseases, including their etiology, transmission, epidemiology, pathogenesis, diagnosis, prevention, and treatment. The Ontology of Coronavirus Infectious Disease CIDO is a community-driven open-source biomedical ontology in the area of coronavirus infectious disease. The CIDO is developed to provide standardized human- and computer-interpretable annotation and representation of various coronavirus infectious diseases, including their etiology, transmission, epidemiology, pathogenesis, diagnosis, prevention, and treatment. Coronavirus Infectious Disease Ontology The Coronavirus Infectious Disease Ontology CIDO aims to ontologically represent and standardize various aspects of coronavirus infectious diseases, including their etiology, transmission, epidemiology, pathogenesis, diagnosis, prevention, and treatment. A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology.

This manuscript provides cido comprehensive update on the development and applications of the community-based Coronavirus Infectious Disease Ontology CIDO. Pavesi A, cido.

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Federal government websites often end in. The site is secure. Preview improvements coming to the PMC website in October Learn More or Try it out now. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis.

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Journal of Biomedical Semantics volume 13 , Article number: 25 Cite this article. Metrics details. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data.

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October 05, Ontology-based modeling, representation, and analysis of biomarkers in healthy and disease kidney tissue. COVID the role of the nsp2 and nsp3 in its pathogenesis. Note that 3C-like proteinase, another name for nsp5, can be inhibited by the chemical nirmatrelvir, a component of the Pfizer drug Paxlovid. Our ontological representation, classification, and analysis of these drugs yielded many potentially valuable scientific insights. Our study demonstrates that CIDO provides an ideal platform to integrate important data needed to research different coronavirus disease-related entities such as coronavirus and host taxonomy, coronavirus proteins and genes, protein variants, epidemiology, diagnostic medical devices, phenotypes, host-coronavirus interactions, drugs, and vaccines. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. The process is similar to preservation of the products for winter at home. Consequently, our knowledge — data and information that embodies awareness and understanding — of domains represented by various datasets is seriously hindered. Download PDF. An example is our representation of how symptoms and comorbidities are linked to COVID disease [ 44 ].

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Eur J Med Res. Antiviral properties of copper and its alloys to inactivate covid virus: a review. Civil Society Division. Top level hierarchical structure of class terms represented in CIDO. Interestingly, all the three drugs, Paxlovid consisting of nirmatrelvir and ritonavir , Molnupiravir, and Remdesivir function by inhibiting enzymes responsible for coronavirus replication. The Spotlight Initiative Africa Regional Programme aims to eliminate all forms of violence against women and girls in. Article Google Scholar Whetzel, P. Published : 21 October Precision omics data integration and analysis with interoperable ontologies and their application for COVID research. Hum Vacc Immunother. As earlier described and shown in Fig. UniProt C. Understanding how pathogen and host genes interact during infection can help to identify critical targets of intervention or prevention. It thereby provides a mechanism for overcoming interoperability issues which arise when the attempt is made to integrate ontologies deriving from different sources. The inclusion of the relations e.