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

[Image: see text] 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 p...

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Detalles Bibliográficos
Autores principales: Pöhner, Ina, Quotadamo, Antonio, Panecka-Hofman, Joanna, Luciani, Rosaria, Santucci, Matteo, Linciano, Pasquale, Landi, Giacomo, Di Pisa, Flavio, Dello Iacono, Lucia, Pozzi, Cecilia, Mangani, Stefano, Gul, Sheraz, Witt, Gesa, Ellinger, Bernhard, Kuzikov, Maria, Santarem, Nuno, Cordeiro-da-Silva, Anabela, Costi, Maria P., Venturelli, Alberto, Wade, Rebecca C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289884/
https://www.ncbi.nlm.nih.gov/pubmed/35675511
http://dx.doi.org/10.1021/acs.jmedchem.2c00232
Descripción
Sumario:[Image: see text] 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 derivatives along with iterations of crystallographic structure determination allowed for the derivation of a structure–activity relationship 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 EC(50) 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.