Biofactoid

Biofactoid captures and encodes author-contributed molecular interaction networks as machine-readable, ontology-grounded representations to enable computational access to interactions among genes, gene products, and chemical compounds.

Key Features:

• Machine-readable summaries: Captures author-contributed machine-readable summaries of research findings focused on molecular interactions among genes, gene products, and chemical compounds.
• Network representation: Represents networks of interactions between genes, gene products, and chemical compounds as structured interaction statements.
• Smart-automation: Translates contributed interaction data into a structured language grounded in formal ontology using smart-automation techniques.
• Crowdsourced curation: Aggregates author-curated interaction data to complement and accelerate traditional manual curation in knowledge bases.
• Integration with public resources: Integrates author-curated information into broader public resources and knowledge bases, enabling extension of pathway information into new biological domains.
• Publication annotation: Annotates publications with structured, computable data that can be shared across public platforms.

Scientific Applications:

• Structured knowledge capture: Enable capture and dissemination of structured molecular-level interaction knowledge from scientific publications.
• Database enrichment: Extend and enrich public knowledge bases and pathway databases with novel, author-contributed interaction information.
• Computational integration: Provide ontology-grounded, machine-readable interaction data compatible with existing computational frameworks to support downstream computational analyses and human–computer interaction.

Methodology:

Translates author-contributed interaction networks into a structured language grounded in formal ontology via smart-automation and annotates publications with the resulting machine-readable data for sharing to public resources.