BioSystems

BioSystems centralizes and cross-links biological pathways and systems within NCBI resources to categorize proteins, genes, and small molecules by metabolic pathways, disease states, and other BioSystem types.

Key Features:

• Cross-linking of databases: Centralizes and cross-links existing biological systems databases to connect related pathways and systems.
• Integration with NCBI Entrez: Integrates pathways and systems into NCBI resources, including Entrez, to expose BioSystem annotations alongside NCBI records.
• Entity categorization: Enables categorization of proteins, genes, and small molecules according to metabolic pathways, disease states, and other BioSystem types.
• Streamlined classification: Reduces the need for time-consuming inference from literature or multiple experimental datasets by providing curated linkages for biological classification.
• Linkage of disparate sources: Provides direct linkage between disparate data sources to connect related biological information across databases.
• Data aggregation framework: Aggregates data from multiple established databases into an interconnected framework of biological interactions.
• Contextualization of datasets: Places existing datasets within broader BioSystem contexts to enrich their interpretative power.

Scientific Applications:

• Systems biology: Supports systems biology by linking pathways, genes, proteins, and small molecules within systemic contexts.
• Genomics: Supports genomics by categorizing genes within metabolic and disease-associated pathways.
• Proteomics: Supports proteomics by mapping proteins to pathways and BioSystem types.
• Metabolomics: Supports metabolomics by linking small molecules to metabolic pathways and systems.

Methodology:

Aggregates data from multiple established databases and creates an interconnected framework that enhances the accessibility of complex biological interactions.