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1.
Sci Rep ; 10(1): 20781, 2020 11 27.
Artículo en Inglés | MEDLINE | ID: mdl-33247159

RESUMEN

The adenosine A3 receptor (A3R) belongs to a family of four adenosine receptor (AR) subtypes which all play distinct roles throughout the body. A3R antagonists have been described as potential treatments for numerous diseases including asthma. Given the similarity between (adenosine receptors) orthosteric binding sites, obtaining highly selective antagonists is a challenging but critical task. Here we screen 39 potential A3R, antagonists using agonist-induced inhibition of cAMP. Positive hits were assessed for AR subtype selectivity through cAMP accumulation assays. The antagonist affinity was determined using Schild analysis (pA2 values) and fluorescent ligand binding. Structure-activity relationship investigations revealed that loss of the 3-(dichlorophenyl)-isoxazolyl moiety or the aromatic nitrogen heterocycle with nitrogen at α-position to the carbon of carboximidamide group significantly attenuated K18 antagonistic potency. Mutagenic studies supported by molecular dynamic simulations combined with Molecular Mechanics-Poisson Boltzmann Surface Area calculations identified the residues important for binding in the A3R orthosteric site. We demonstrate that K18, which contains a 3-(dichlorophenyl)-isoxazole group connected through carbonyloxycarboximidamide fragment with a 1,3-thiazole ring, is a specific A3R (< 1 µM) competitive antagonist. Finally, we introduce a model that enables estimates of the equilibrium binding affinity for rapidly disassociating compounds from real-time fluorescent ligand-binding studies. These results demonstrate the pharmacological characterisation of a selective competitive A3R antagonist and the description of its orthosteric binding mode. Our findings may provide new insights for drug discovery.


Asunto(s)
Antagonistas del Receptor de Adenosina A3/química , Antagonistas del Receptor de Adenosina A3/farmacología , Antagonistas del Receptor de Adenosina A3/farmacocinética , Animales , Sitios de Unión/genética , Unión Competitiva , Células CHO , Cricetulus , AMP Cíclico/metabolismo , Evaluación Preclínica de Medicamentos , Humanos , Cinética , Simulación de Dinámica Molecular , Mutagénesis Sitio-Dirigida , Ensayo de Unión Radioligante , Ratas , Receptor de Adenosina A3/química , Receptor de Adenosina A3/genética , Receptor de Adenosina A3/metabolismo , Receptores Purinérgicos P1/química , Receptores Purinérgicos P1/genética , Receptores Purinérgicos P1/metabolismo , Proteínas Recombinantes/química , Proteínas Recombinantes/genética , Proteínas Recombinantes/metabolismo , Especificidad de la Especie , Relación Estructura-Actividad
2.
J Chem Inf Model ; 58(4): 794-815, 2018 04 23.
Artículo en Inglés | MEDLINE | ID: mdl-29485875

RESUMEN

An intense effort is made by pharmaceutical and academic research laboratories to identify and develop selective antagonists for each adenosine receptor (AR) subtype as potential clinical candidates for "soft" treatment of various diseases. Crystal structures of subtypes A2A and A1ARs offer exciting opportunities for structure-based drug design. In the first part of the present work, Maybridge HitFinder library of 14400 compounds was utilized to apply a combination of structure-based against the crystal structure of A2AAR and ligand-based methodologies. The docking poses were rescored by CHARMM energy minimization and calculation of the desolvation energy using Poisson-Boltzmann equation electrostatics. Out of the eight selected and tested compounds, five were found positive hits (63% success). Although the project was initially focused on targeting A2AAR, the identified antagonists exhibited low micromolar or micromolar affinity against A2A/A3, ARs, or A3AR, respectively. Based on these results, 19 compounds characterized by novel chemotypes were purchased and tested. Sixteen of them were identified as AR antagonists with affinity toward combinations of the AR family isoforms (A2A/A3, A1/A3, A1/A2A/A3, and A3). The second part of this work involves the performance of hundreds of molecular dynamics (MD) simulations of complexes between the ARs and a total of 27 ligands to resolve the binding interactions of the active compounds, which were not achieved by docking calculations alone. This computational work allowed the prediction of stable and unstable complexes which agree with the experimental results of potent and inactive compounds, respectively. Of particular interest is that the 2-amino-thiophene-3-carboxamides, 3-acylamino-5-aryl-thiophene-2-carboxamides, and carbonyloxycarboximidamide derivatives were found to be selective and possess a micromolar to low micromolar affinity for the A3 receptor.


Asunto(s)
Descubrimiento de Drogas , Simulación de Dinámica Molecular , Antagonistas de Receptores Purinérgicos P1/metabolismo , Antagonistas de Receptores Purinérgicos P1/farmacología , Receptores Purinérgicos P1/metabolismo , Evaluación Preclínica de Medicamentos , Humanos , Ligandos , Simulación del Acoplamiento Molecular , Unión Proteica , Conformación Proteica , Antagonistas de Receptores Purinérgicos P1/química , Receptores Purinérgicos P1/química , Relación Estructura-Actividad , Termodinámica
3.
PLoS One ; 13(1): e0188212, 2018.
Artículo en Inglés | MEDLINE | ID: mdl-29304113

RESUMEN

Parkinson's disease (PD) is a neurodegenerative disorder characterized by progressive loss of dopaminergic neurons in the substantia nigra of the human brain, leading to depletion of dopamine production. Dopamine replacement therapy remains the mainstay for attenuation of PD symptoms. Nonetheless, the potential benefit of current pharmacotherapies is mostly limited by adverse side effects, such as drug-induced dyskinesia, motor fluctuations and psychosis. Non-dopaminergic receptors, such as human A2A adenosine receptors, have emerged as important therapeutic targets in potentiating therapeutic effects and reducing the unwanted side effects. In this study, new chemical entities targeting both human A2A adenosine receptor and dopamine D2 receptor were designed and evaluated. Two computational methods, namely support vector machine (SVM) models and Tanimoto similarity-based clustering analysis, were integrated for the identification of compounds containing indole-piperazine-pyrimidine (IPP) scaffold. Subsequent synthesis and testing resulted in compounds 5 and 6, which acted as human A2A adenosine receptor binders in the radioligand competition assay (Ki = 8.7-11.2 µM) as well as human dopamine D2 receptor binders in the artificial cell membrane assay (EC50 = 22.5-40.2 µM). Moreover, compound 5 showed improvement in movement and mitigation of the loss of dopaminergic neurons in Drosophila models of PD. Furthermore, in vitro toxicity studies on compounds 5 and 6 did not reveal any mutagenicity (up to 100 µM), hepatotoxicity (up to 30 µM) or cardiotoxicity (up to 30 µM).


Asunto(s)
Antagonistas del Receptor de Adenosina A2/farmacología , Antiparkinsonianos/farmacología , Agonistas de Dopamina/farmacología , Enfermedad de Parkinson/tratamiento farmacológico , Enfermedad de Parkinson/metabolismo , Receptor de Adenosina A2A/metabolismo , Receptores de Dopamina D2/agonistas , Receptores de Dopamina D2/metabolismo , Antagonistas del Receptor de Adenosina A2/química , Antagonistas del Receptor de Adenosina A2/farmacocinética , Inhibidores de Adenilato Ciclasa/química , Inhibidores de Adenilato Ciclasa/farmacocinética , Inhibidores de Adenilato Ciclasa/farmacología , Animales , Animales Modificados Genéticamente , Antiparkinsonianos/química , Antiparkinsonianos/farmacocinética , Células CHO , Cricetulus , Agonistas de Dopamina/química , Agonistas de Dopamina/farmacocinética , Drosophila/genética , Drosophila/metabolismo , Descubrimiento de Drogas , Evaluación Preclínica de Medicamentos , Humanos , Trastornos Parkinsonianos/tratamiento farmacológico , Trastornos Parkinsonianos/genética , Trastornos Parkinsonianos/metabolismo , Piperazinas/química , Piperazinas/farmacocinética , Piperazinas/farmacología , Pirimidinas/química , Pirimidinas/farmacocinética , Pirimidinas/farmacología , Ensayo de Unión Radioligante , Máquina de Vectores de Soporte
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