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Optimizing synthesis of pharmaceuticals by machine learning

Funder: The Finnish Research Impact FoundationProject code: 235 Call for proposal: Tandem Industry Academia 2021
Funder Contribution: 222,000 EUR

Optimizing synthesis of pharmaceuticals by machine learning

Description

The University of Helsinki and Orion Pharma teams combine state-of-the-art flow chemistry technologies with machine learning for efficient synthesis of small-molecular compounds for the drug discovery projects. Our team is the first in Finland to combine synthetic organic and medicinal chemistry as well as catalysis with computer science. This benefits greatly the industrial host in the process optimization and identification the most facile synthetic routes of the target compounds. The post-doctoral researcher carries out ambitious and rewarding research and is supervised by a team of five leading industrial and academic scientists. The project pioneers also as an initiative on how to train the next generation of chemists, conversant in modern chemical synthesis and computer science.

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