Companies and researchers use DrugBank as a key part of their drug repurposing projects. DrugBank is structured, machine-readable, updated daily, and includes multiple datasets suitable for a variety of repurposing approaches.
Investigate drugs that are related to the treatment of a specific disease group, use a network-based approach to identify repurposing opportunities using approved indications and clinical trial indications, identify repurposing candidates using the off-target protein interactions and side effects, enrich omics and GWAS studies with detailed pathway information, or make use of the detailed structured information to train predictive models.
Our customers use a number of datasets to evaluate the safety and effectiveness of repurposed drug candidates, saving time and money. Using our adverse effects, drug-drug interactions, and drug metabolism data, customers can quickly identify potential issues and build predictive models that enable advances in drug repurposing.
Healx integrates DrugBank into their internal databases, empowering them to use a wide range of data to train their drug repurposing algorithms. By using DrugBank datasets, Healx is able to lower the time and cost of their R&D and get repurposed drugs to market sooner.
Read the white paper