4.7 Article

Optimization of 2-Amino-4,6-diarylpyrimidine-5-carbonitriles as Potent and Selective A1 Antagonists

Journal

JOURNAL OF MEDICINAL CHEMISTRY
Volume 65, Issue 3, Pages 2091-2106

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jmedchem.1c01636

Keywords

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Funding

  1. Conselleria de Cultura, Educacion e Ordenacion Universitaria [Galician Government] [ED431B 2020/43]
  2. Xunta de Galicia [ED431G 2019/03]
  3. European Union (European Regional Development Fund, ERDF)
  4. Swedish Research Council [521-2014-2118]
  5. Swedish strategic research program eSSENCE
  6. Swedish National Infrastructure for Computing (SNIC) [CA 18133]

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This study documents a large collection of 108 2-amino-4,6-disubstituted-pyrimidine derivatives as potent A(1)AR ligands, confirming their selectivity and structure-activity relationships. The study highlights the influence of aromatic residues at positions R-4 and R-6 of the pyrimidine core, as well as the role of a methyl group at the exocyclic amino group on A(1)AR selectivity profile.
We herein document a large collection of 108 2-amino-4,6-disubstituted-pyrimidine derivatives as potent, structurally simple, and highly selective A(1)AR ligands. The most attractive ligands were confirmed as antagonists of the canonical cyclic adenosine monophosphate pathway, and some pharmacokinetic parameters were preliminarily evaluated. The library, built through a reliable and efficient three-component reaction, comprehensively explored the chemical space allowing the identification of the most prominent features of the structure-activity and structure-selectivity relationships around this scaffold. These included the influence on the selectivity profile of the aromatic residues at positions R-4 and R-6 of the pyrimidine core but most importantly the prominent role to the unprecedented A(1)AR selectivity profile exerted by the methyl group introduced at the exocyclic amino group. The structure-activity relationship trends on both A(1) and A(2A)ARs were conveniently interpreted with rigorous free energy perturbation simulations, which started from the receptor-driven docking model that guided the design of these series.

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