drugbank-database

Retrieve drug targets and pharmacology data by parsing DrugBank XML files programmatically with Python utilities to extract identifiers, names, ADME data, and external references. The skill provides modular data access for querying specific drug entries and navigating their nested properties.

Map drug-target networks and drug-drug interactions by analyzing DrugBank entries to build interaction networks and connect drugs to biological pathways. The skill supports extracting targets with UniProt IDs and GO terms for cross-database integration and network construction.

Chemical property extraction is supported, including accessing SMILES, InChI, and calculated properties for structure-based similarity searches. The skill enables programmatic retrieval of these molecular representations to facilitate drug discovery research and pharmacology studies.

Setup requires configuring data access credentials to download the latest DrugBank data for reproducible research. Users need Python utilities to load entries by primary ID and perform modular data access, XML navigation, and property extraction.

Cross-reference DrugBank data with external databases by extracting targets with UniProt IDs and GO terms. The skill enables mapping drug identifiers to external references, allowing seamless integration across pharmacology studies and drug discovery research datasets.