Case Study: e-Therapeutics achieves 20x faster network pharmacology computations with GridGain In-Memory Data Fabric

e-Therapeutics Runs Hundreds of Thousands of Computational Analyses in Minutes to Find Treatments for Biocomplex Diseases Using GridGain

Founded in 2001, e-Therapeutics is a UK drug discovery company that pioneered network pharmacology, using a proprietary platform to run millions of in-memory analyses to identify promising drug candidates. When extending the platform they faced a major performance challenge: running millions of memory‑intensive, parallel computations repeatedly would have taken weeks on their existing infrastructure.

They adopted the GridGain In‑Memory Data Fabric to provide distributed in‑memory caching, computation and streaming with a straightforward programming model. The result: analyses now run up to 20× faster (taking days instead of weeks), with greater reliability, built‑in redundancy for failover, seamless integration for scientists, and the ability to run tests that were previously infeasible.

E-Therapeutics

Jonny Wray

Head of Discovery Informatics for e-Therapeutics