What we do

Drug Interaction Solutions, at University of Washington, is dedicated to supporting scientists in their decision-making process when evaluating pharmacokinetic (PK)-based drug interactions and drug safety.

Drug Interaction Solutions’ PK-based Drug Interaction Database (DIDB) has the largest manually curated collection of qualitative and quantitative preclinical (human in vitro) and clinical (in vivo) information related to various extrinsic and intrinsic factors. These include interacting co-medications, excipients, food products, herbals, tobacco, organ impairment, and genetics that can affect drug exposure in humans.

  Data curation

In practice, the team of scientists at Drug Interaction Solutions identify the latest peer-reviewed publications as well as recent NDA/BLA reviews and drug labels from the FDA and select the content that is most relevant to support drug interaction evaluations at various stages of the drug development process.

The team also create drug monographs that summarize the main mechanistic and quantitative findings including the PK profile, DDI summary, and QT data, as well as information regarding the overall DDI risk level and label recommendations for clinical use.

In addition, we maintain comprehensive lists of clinical substrates, inhibitors, and inducers of enzymes (CYP) and transporters and we release monthly newsletters highlighting the latest publications and NDA/BLAs added to the database.

For more information on our data curation process see how we work

  Outreach, collaboration, training, and continuous improvement

We share the results of our own research by teaching courses on drug interactions, contributing to workshops and conferences, and publishing articles and reviews on an ongoing basis.

We work closely with colleagues from various universities, regulatory agencies, and pharmaceutical companies on the most pressing issues and challenges in the field.

We assist the end-users of our database with highly specific and detailed database searches and outputs, breaking down often complex mechanisms of drug interactions to enable efficient problem solving.

We continuously expand the database content and improve its functionality based on user feedback.