CIDO

CIDO formalizes coronavirus infectious disease knowledge to integrate and standardize biomedical terms and relationships covering SARS-CoV-2 proteins and variants, host-pathogen interactions, diagnostics, vaccines, and therapeutics.

Key Features:

• Ontology interoperability: Aligns with the Open Biomedical Ontology (OBO) library and with the Basic Formal Ontology and the Viral Infectious Disease Ontology to enable interoperable representation.
• Cross-ontology integration: Incorporates terms from over 30 OBO ontologies, including Protein Ontology, Human Phenotype Ontology, and Vaccine Ontology.
• SARS-CoV-2 variant representation: Systematically represents SARS-CoV-2 variants and details over 300 amino acid substitutions in protein annotations.
• Diagnostics and methods: Represents diagnostic kits and diagnostic methods used for coronavirus detection.
• Host-pathogen interactions and therapeutics: Models host-coronavirus protein-protein interactions (PPIs) and drugs targeting those proteins to support drug repurposing analyses.
• Term and metadata standardization: Provides structured representations for term standardization and metadata standardization across datasets.
• Computational inference and NLP support: Supports computational inference and natural language processing (NLP)-based applications.
• Visual analysis support: Enables visual analysis supported by summarization network methods.
• Clinical and epidemiological data support: Facilitates clinical data integration and epidemiological modeling.

Scientific Applications:

• Term standardization: Standardizes coronavirus-related terms across datasets and ontologies.
• Variant analysis: Enables analysis of SARS-CoV-2 variant differences such as Delta versus Omicron using amino acid variant knowledge.
• Drug repurposing: Supports drug repurposing studies by linking drugs to host-coronavirus PPIs and protein targets.
• Natural language processing: Supports NLP for extracting coronavirus knowledge from text.
• Clinical data integration: Facilitates integration of clinical data with standardized ontology terms.
• Epidemiological modeling: Supports epidemiological modeling through standardized representations of cases, diagnostics, and variants.
• Shared knowledge representation: Enables shared knowledge representation and metadata standardization across research domains.

Methodology:

Integrates terms from over 30 OBO ontologies and aligns with the Basic Formal Ontology and the Viral Infectious Disease Ontology; supports computational inference, natural language processing (NLP), clinical data integration, epidemiological modeling, and visual analysis via summarization network methods.