"Dual Anta-Inhibitors" of the A2A Adenosine Receptor and Casein Kinase CK1delta : Synthesis, Biological Evaluation, and Molecular Modeling Studies

Based on a screening of a chemical library of A2A adenosine receptor (AR) antagonists, a series of di- and tri-substituted adenine derivatives were synthesized and tested for their ability to inhibit the activity of the enzyme casein kinase 1 delta (CK1δ) and to bind adenosine receptors (ARs). Some derivatives, here called "dual anta-inhibitors", demonstrated good CK1δ inhibitory activity combined with a high binding affinity, especially for the A2AAR. The N6-methyl-(2-benzimidazolyl)-2-dimethyamino-9-cyclopentyladenine (17, IC50 = 0.59 μM and KiA2A = 0.076 μM) showed the best balance of A2AAR affinity and CK1δ inhibitory activity. Computational studies were performed to simulate, at the molecular level, the protein-ligand interactions involving the compounds of our series. Hence, the dual anta-inhibitor 17 could be considered the lead compound of new therapeutic agents endowed with synergistic effects for the treatment of chronic neurodegenerative and cancer diseases.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:16

Enthalten in:

Pharmaceuticals (Basel, Switzerland) - 16(2023), 2 vom: 23. Jan.

Sprache:

Englisch

Beteiligte Personen:

Spinaci, Andrea [VerfasserIn]
Buccioni, Michela [VerfasserIn]
Catarzi, Daniela [VerfasserIn]
Cui, Chang [VerfasserIn]
Colotta, Vittoria [VerfasserIn]
Dal Ben, Diego [VerfasserIn]
Cescon, Eleonora [VerfasserIn]
Francucci, Beatrice [VerfasserIn]
Grieco, Ilenia [VerfasserIn]
Lambertucci, Catia [VerfasserIn]
Marucci, Gabriella [VerfasserIn]
Bassani, Davide [VerfasserIn]
Pavan, Matteo [VerfasserIn]
Varano, Flavia [VerfasserIn]
Federico, Stephanie [VerfasserIn]
Spalluto, Giampiero [VerfasserIn]
Moro, Stefano [VerfasserIn]
Volpini, Rosaria [VerfasserIn]

Links:

Volltext

Themen:

“dual anta-inhibitors”
A2A adenosine receptor antagonists
CK1δ inhibitors
Computational study
Journal Article
Molecular modeling

Anmerkungen:

Date Revised 03.06.2023

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/ph16020167

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM357614275