Diamonds in Chemical Space: The Synthesis of Brexazine

Here we searched chemical space for small and novel diamond‐like, 3D‐shaped building blocks, which are very rare but highly valuable for medicinal chemistry because they can increase the natural product likeness of drug molecules and improve their selectivity, water solubility and metabolism. We explored the Generated DataBases (GDBs), which list all possible organic molecules up to a defined size, identified 162 norbornane containing ring systems related to the known trinorbornane, and took inspiration from its simpler substructure brexane to design brexazine as a new chiral and 3D‐shaped piperazine analog. The synthesis of brexazine was realized in 11 steps and 11.5% overall yield from a commercially available norbornene building block. These experiments illustrate the value of exploring chemical space from first principles to design new building blocks for drug discovery.

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Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2024-12-05
DOI
https://doi.org/10.48620/77414
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
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article

Diamonds in Chemical Space: The Synthesis of Brexazine

Open Access CRIS of the University of Bern
Machine Learning in Materials Science
article

Diamonds in Chemical Space: The Synthesis of Brexazine

article en

Abstract

Here we searched chemical space for small and novel diamond‐like, 3D‐shaped building blocks, which are very rare but highly valuable for medicinal chemistry because they can increase the natural product likeness of drug molecules and improve their selectivity, water solubility and metabolism. We explored the Generated DataBases (GDBs), which list all possible organic molecules up to a defined size, identified 162 norbornane containing ring systems related to the known trinorbornane, and took inspiration from its simpler substructure brexane to design brexazine as a new chiral and 3D‐shaped piperazine analog. The synthesis of brexazine was realized in 11 steps and 11.5% overall yield from a commercially available norbornene building block. These experiments illustrate the value of exploring chemical space from first principles to design new building blocks for drug discovery.

Open Access CRIS of the University of Bern
Special Olympics (US)
Openalex Percentile: Top 77%
Machine Learning in Materials Science
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