Case Study: Aria Pharmaceuticals accelerates drug discovery with DrugBank

Aria is speeding up drug discovery with AI & DrugBank

Aria Pharmaceuticals, an AI-enabled pharmaceutical company, faced the challenge of sourcing high-quality, reliable, and up-to-date data to power its machine learning models for drug discovery. Existing datasets were often sparse and of inconsistent quality, which hindered their ability to validate their unique approach and push the boundaries of medical research. To overcome this, they turned to the datasets from vendor DrugBank.

DrugBank provided the high-quality, structured data Aria required, including comprehensive information on drug targets, pharmacology, and metabolism. This data proved to be a powerful and integral tool for their AI. As a result, Aria drastically shortened the early stages of drug discovery from years down to months and increased their success rate from 1% to over 30%, allowing them to expedite dozens of promising treatments toward preclinical trials.

Aria Pharmaceuticals

Aaron Daugherty

Vice President Discovery