Case Study: Javelin Biotech accelerates drug discovery with DrugBank

How Javelin is using DrugBank data to revolutionize drug discovery

Javelin Biotech, an early-stage startup, sought to accelerate drug discovery and reduce the pharmaceutical industry's reliance on animal testing. Their challenge was the lack of easily accessible, high-quality drug data, including FDA labels, which was critical for accurately training their machine learning models to predict how drugs behave in humans.

DrugBank provided the comprehensive, curated drug data Javelin required, including information on enzymes, targets, and interactions. By integrating this data, Javelin built faster, more accurate machine learning models, which accelerated their clients' lead optimization phase from two years to one. This solution also saved Javelin weeks of manual data mapping work through automation, allowing them to focus on platform development and significantly advance their goal of reducing animal testing.

Javelin Biotech

Jason Sherfey

Director of Computational Biology