DrugBank's deep pool of drug knowledge can be used for everything from AI in drug discovery to In Silico, Precision Medicine, and so much more. We’ve intentionally structured our knowledgebase and datasets as a means of delivering specific and empowering insights that are usable for the full range of our users.
To make sure you're getting the most out of DrugBank we've created a series of Data Implementation Guides. Each focuses on a specific way you can implement DrugBank to maximize your impact. These guides have been designed to help you unlock powerful insights quicker with simple step-by-step instructions and expert tips and tricks. We've outlined scenarios, levels of expertise to produce the best results, and helpful prompts to get you headed in the right direction.
To begin, we've launched the Target Data Guide:
Discover data guides in our Help Centre:
- The DrugBank targets dataset, as laid out in the bonds table, provides an entry point into the DrugBank knowledgebase that reflects these interactions. Users can query this table to identify interactions directly for given drugs or drug categories. By joining additional tables in the knowledge base, it is possible to answer relevant questions for clinical practice, drug discovery and repurposing, and many other applications.
Check back as we release new guides to help you get started with our datasets.
No matter your use case, our knowledgebase provides a range of powerful tools to help bring more certainty and speed to you and your user’s day. Depending on your specific needs, it’s a good idea to explore a variety of DrugBank's options to find the right journey for you. Our Customer Success team and Scientific Support team has the know-how and experience to help you identify what will work best for you and guide you along the way as you get up and running.
Curious to see what you might be missing out on? Check out our Data Implementation Guides now!