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Disentangling the quantum problems in drug discovery

Disentangling the quantum problems in drug discovery

Bringing a single new drug to the market costs $2.6bn, often delivering an intervention that barely differs from those already in the market. Projections into the future are not promising, with an expected 50% drop in R&D output every nine years.

At GTN we are searching the astronomically large space of drug-like molecules with our unique patented technology, Generative Tensorial Networks. Our software combines and builds upon techniques from machine learning and quantum physics to simulate, filter and search for molecules, halving development costs and discovering molecules entirely hidden from view.

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Theoretical physicist with many years of experience in computational physics, statistical analysis, big data, machine learning with custom algorithms
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Funded over

1 round

Latest round

Seed (May 2018)