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Virtual Pharma Revolutionizing Drug Development

Aug 25, 2020 by CenTrial

Machine learning identifies drug candidates

In just three short years, Reverie Labs went from a couple of laptops to raising $6.6 million and collaborating with Roche and Genentech, two pharma giants.

Johna Kallenbach and Ankit Gupta met on their first day at Harvard and hit it off immediately. After batting around some ideas they focused in on developing machine learning algorithms that would be able to more easily find potential drug candidates.

Currently big pharma can spend $100 million and take two years just to identify a drug that is suitable for clinical trials.

Using their platform, Reverie's software can generate, select, and predict millions of chemical structures for new precision targeted therapies.

Focusing on kinase-based brain cancers, they have been able to identify drug candidates that can penetrate the blood-brain barrier, so that that cures for brain cancer are now within reach.

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