Biopharma OS
Evaluate targets and assets with conviction
Deeply connected scientific and commercial data across drugs, targets, trials, diseases, companies, and more. Accessible via API, MCP, or the Workspace.
DrugBank's Knowledge Graph is the connected intelligence core built from 20 years of curated biomedical data. Every datapoint traces back to its source, updates continuously, and is ready for AI and human discovery.
One connected graph means completeness is guaranteed, not assumed.
Knowledge Engine
Run continuously and overseen by expert curators, the Knowledge Engine delivers complete, correct, fresh, and traceable data directly to the graph.
Continuous data point ingestion from a broad set of primary and regulatory sources
Aggregate, harmonize, and resolve entities to a single record and connect to 20+ ontologies
Ongoing quality control overseen by biostatisticians to maintain standards for millions of records
A sponsor's name on a filing isn't always who's behind it, and untangling that takes more than one lookup.
Trial registries only ever show a piece of this. DrugBank pulls the rest from SEC filings, corporate registries, and M&A records, then normalizes and connects them, drawing on SEC records that reach back over a century.
Sponsor names as filed
+ 31 more trial sponsor strings
Resolved against
+ 17 more resolved entities
Every ID system was built for a different job, and none of them talk to each other on their own.
DrugBank engineers its own ontologies that are purpose-built for the problems this data needs to solve, then maps every major ID system back to them. Start from any ID and you'll land straight on the full drug record.
Development code names
Nonproprietary names
Brand names
Database identifiers
DrugBank record
Bevacizumab
DB00112
On-label, off-label, or investigational only tells you the regulatory status. It doesn't tell you how it actually works.
DrugBank builds its own disease ontologies, designed for how indications actually vary, then maps the relationships between them. That structure makes it possible to pull the full indication record and filter or aggregate those fields directly.
REZDIFFRA is indicated in conjunction with diet and exercise for the treatment of adults with noncirrhotic metabolic dysfunction-associated steatohepatitis (MASH), formerly known as nonalcoholic steatohepatitis (NASH), with moderate to advanced liver fibrosis (consistent with stages F2 to F3 fibrosis).
Across 8 trials
NASH - Nonalcoholic Steatohepatitis Non-alcoholic Steatohepatitis Non-Alcoholic Fatty Liver Disease MASH - Metabolic Dysfunction-Associated Steatohepatitis MASLD - Metabolic Dysfunction-Associated Steatotic Liver Disease + 2 more spellings
adjunct_therapy_in_treatment_of
| Indication 1 | Indication 2 | |
|---|---|---|
| Condition | Advanced Liver Fibrosis | moderate Liver Fibrosis |
| Associated with | Metabolic Dysfunction-associated Steatohepatitis (MASH) | Metabolic Dysfunction-associated Steatohepatitis (MASH) |
| Excludes | Decompensated Cirrhosis | Decompensated Cirrhosis |
| Given with | Diet, Exercise | Diet, Exercise |
| Population | adult | adult |
| Region | US | US |
Biopharma OS
Deeply connected scientific and commercial data across drugs, targets, trials, diseases, companies, and more. Accessible via API, MCP, or the Workspace.
Clinical API
Integrate structured drug information, drug-drug interactions, and more into your healthcare software to improve patient outcomes and clinical decision support.
Academic Research
Comprehensive biomedical knowledge for academic and non-commercial research. Used by 1,500+ research institutions and cited in 65,000+ publications.