AnthraxKP

AnthraxKP integrates anthrax-related biomedical literature and extracted entities into an annotated knowledge graph and ontology to support analysis of Bacillus anthracis genes, proteins, vaccines, chemicals, diseases, and species.

Key Features:

• Comprehensive Data Integration: Consolidates data from nearly 8,000 biomedical publications and identifies approximately 14,000 entities across 29 categories, including genes, diseases, chemicals, species, vaccines, and proteins.
• Anthrax-related Entities Dictionary and Anthrax Ontology: Curates identified entities into an Anthrax-related Entities Dictionary and an Anthrax Ontology for structured representation.
• Knowledge Graph Construction (AnthraxKG): Constructs an Anthrax Knowledge Graph comprising over 6,000 nodes, 6,000 edges, and 32,000 properties representing association relationships among entities.
• Automated Entity and Relationship Extraction: Applies text mining to extract entities and relationships from the literature corpus for annotation and graph construction.
• Data Querying and Export: Supports querying the database and downloading data in multiple formats for integration with other bioinformatics workflows.

Scientific Applications:

• Etiology: Enables analysis of the genetic and molecular basis of Bacillus anthracis pathogenicity.
• Diagnosis: Supports identification of biomarkers and diagnostic tools for early detection of anthrax infections.
• Treatment: Facilitates exploration of therapeutic targets and vaccine development strategies.
• Research Collaboration: Provides a centralized, curated knowledge resource to support interdisciplinary anthrax research.

Methodology:

The system applies text mining tools to extract entities and relationships from the literature corpus and generates an annotated dataset that underpins the Anthrax Knowledge Graph.