Multitarget, Selective Compound Design Yields Potent Inhibitors of a Kinetoplastid Pteridine Reductase 1

The optimization of compounds with multiple targets is a difficult multidimensional problem in the drug discovery cycle. Here, we present a systematic, multidisciplinary approach to the development of selective antiparasitic compounds. Computational fragment-based design of novel pteridine deriva-tives along with iterations of crystallographic structure determi-nation allowed for the derivation of a structure-activity relation-ship for multitarget inhibition. The approach yielded compounds showing apparent picomolar inhibition of T. brucei pteridine reductase 1 (PTR1), nanomolar inhibition of L. major PTR1, and selective submicromolar inhibition of parasite dihydrofolate reductase (DHFR) versus human DHFR. Moreover, by combining design for polypharmacology with a property-based on-parasite optimization, we found three compounds that exhibited micromolar EC50 values against T. brucei brucei while retaining their target inhibition. Our results provide a basis for the further development of pteridine-based compounds, and we expect our multitarget approach to be generally applicable to the design and optimization of anti-infective agents.

Automated summary

This study presents a systematic, multidisciplinary approach to the development of selective antiparasitic compounds with multiple targets. The approach combines computational fragment-based design and crystallographic structure determination to derive a structure-activity relationship for multitarget inhibition. The optimized compounds show promising inhibition against various parasitic targets while minimizing toxicity.