Develops a 5-step process for danuglipron synthesis, indicating improved efficiency and yield in production.
The target compound danuglipron belongs to a family of glucagon-like peptide-1 receptor agonist (GLP-1RA) candidates identified in the Pfizer laboratories for the treatment of type 2 diabetes mellitus and obesity. This article describes a development approach providing a data-centric, holistic methodology toward process design. The approach starts with rapid collection and generation of fundamental data through high-throughput experimentation (HTE), followed by lead evaluation, narrowing process options, and concluding with lead process confirmation. This systematic strategy identifies the most efficient process options, anticipates process sensitivities, removes unconscious bias in decision making, leading to fewer process iterations, and identifies an optimal process. By adopting this approach to danuglipron, a new 5-step process was developed, removing two unnecessary process steps, increasing the yield from 34 to 64%, and reducing PMI from 231 to 73 kg/kgA while being scaled at multiple facilities to generate metric tons of clinical-grade danuglipron.
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Ahmed et al. (2026) studied this question.
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