Recent Advances in Library Synthesis to Accelerate Medicinal Chemistry Research

Learn how parallel medicinal chemistry (PMC) and high throughput experimentation (HTE) combined with machine learning can provide a more focused approach to target molecules, resulting in a more concentrated set of compounds to make the process of lead selection easier.

Our experts show how PMC can shorten the turnaround time of the design-synthesis-test cycle, providing more compounds with limited scaffolds by using streamlined workflows and accumulated parallel synthesis knowledge.

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