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Disentangling the Quantum Challenges in Drug Discovery

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Published on: 2019-04-26
GTN discovers new drugs with machine learning and quantum physics  Techworld.comTechworld spoke to Noor Shaker, founder of GTN, the startup combining machine learning and quantum physics to discover new drugs.... Read more
Published on: 2019-04-26
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Published on: 2019-04-26
But by marrying the fields of quantum physics and machine learning, startup GTN ... However, this doesn't mean the use of quantum computing.... Read more
Published on: 2019-04-26
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Published on: 2019-04-26
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Project Description

The GTN team are united by a mission to a disentangle the quantum challenges in drug discovery to get innovative and effective medicines to patients faster.

We have an amazing interdiciplinary team whose expertise includes Machine Learning, Quantum Physics and Computational Chemistry.

Bringing a single new drug to the market costs $2.9bn, often delivering an intervention that barely differs from those already in the market.

At GTN they are searching the astronomically large space of drug-like molecules with their unique patented technology, Generative Tensorial Networks. Their 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.

Project Details
  • Startup: GTN Ltd
  • Founded: 2017
  • Capabilities: Quantum algorithms
  • Home: gtn.ai
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