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Detalle de: Optimization of 2-Amino-4,6-diarylpyrimidine-5-carbonitriles as Potent and Selective A 1 Antagonists

Title Optimization of 2-Amino-4,6-diarylpyrimidine-5-carbonitriles as Potent and Selective A 1 Antagonists
Abstract

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 preliminarilly 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.

Apa Reference Val, C., Rodríguez-García, C., Prieto-Díaz, R., Crespo, A., Azuaje, J., Carbajales, C., Majellaro, M., Díaz-Holguín, A., Brea, J.M., Loza, M.I., Gioé-Gallo, C., Contino, M., Stefanachi, A., García-Mera, X., Estévez, J.C., Gutiérrez-de-Terán, H. & Sotelo, E. (2022). Optimization of 2-Amino-4,6-diarylpyrimidine-5-carbonitriles as Potent and Selective A 1 Antagonists. Journal of Medicinal Chemistry, 65(3), 2091-2106. 10.1021/acs.jmedchem.1c01636
Doi 10.1021/acs.jmedchem.1c01636
Publication Date 22 Jan 2022
Publication Type Article
Researcher Hugo Gutiérrez de Terán Castañón
Ontology Genome Assembly, Computational models and simulations, Structure-function relationship, Drug Discovery and design, Molecular Interactions/Docking
Research Groups Computational Biochemistry of Membrane Receptors
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