Enabling Efficient Late‐Stage Functionalization of Drug‐Like Molecules with LC‐MS and Reaction‐Driven Data Processing

European Journal of  Organic Chemistry, 2017 

Huifang Yao, Yong Liu, Sriram Tyagarajan, Eric Streckfuss, Mikhail Reibarkh,  Kuanchang Chen,  Ismael Zamora,  Fabien Fontaine,  Laura Goracci,  Roy Helmy,  Kevin P. Bateman,  Shane W. Krska


Latestage functionalization (LSF) through CH functionalization of drug leads is a powerful synthetic strategy for drug discovery. A key challenge in LSF is that multiple regioisomeric products are often generated, which requires slow and laborious product isolation and structure confirmation steps. To address this, an analytical approach using LCHRMS/MS coupled with automated chemically aware data processing was developed. Using this method to analyze reaction screening arrays based on three common Cfunctionalization chemistries with a set of marketed drugs, the relative amount and localization of chemical modification could be determined for each regioisomeric product generated in the screening.

This approach allows one to construct a workflow in which the various regioisomeric products of a given transformation are triaged according to their site of modification, allowing downstream isolation and structure elucidation efforts to focus on those analogues of highest interest, leading to an overall increase in productivity of the LSF strategy.