dbparser at a glance
dbparser is a production-ready R package for parsing and integrating major drug knowledge sources into one analysis-friendly structure called dvobject.
Instead of working with multiple raw database formats, teams can standardize data into a single object and move directly into pharmacovigilance and translational workflows.
What dbparser solves
- •Converts complex source formats (including DrugBank XML) into tidy, explorable R tables.
- •Bridges mechanistic and phenotypic evidence by integrating DrugBank, OnSIDES, and TWOSIDES.
- •Preserves provenance and metadata so downstream analyses remain auditable.
Integration workflow
dbparser supports an end-to-end pipeline:
- 1.Parse each source database.
- 2.Merge datasets into one integrated knowledge object.
- 3.Query enriched tables for adverse events and drug-drug interaction patterns.
This workflow is especially useful for teams building explainable pharmacovigilance analyses, drug safety research pipelines, and reusable internal data products.
Why teams adopt it
- •One unified object instead of fragmented files.
- •Easier collaboration and handoff across research teams.
- •Strong open-source ecosystem presence with active maintenance.