Introduction

The Catalysis group at Boehringer Ingelheim works with various internal and external partners to develop synthetic technologies that speed up the delivery of lifesaving drugs to patients. The webinar will cover recent findings from Boehringer-Yale collaboration that accurately predict enantioselectivity of P-chiral monophosphorus ligands using complimentary machine learning models that can be applied to different catalytic systems. The presentation will outline an integrated approach that combines either transition state-based or ligand-based descriptors with small experimental datasets to provide qualitative and quantitative enantioselectivity predictions.

Speakers

• Sanil Sreekumar Boehringer Ingelheim, United States

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Venue

United Kingdom

Committee

• Process Chemistry and Technology Group United Kingdom

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Contact information

Alan Steven
Euroapi
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