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1.
Bioorg Med Chem Lett ; 29(19): 126624, 2019 10 01.
Artículo en Inglés | MEDLINE | ID: mdl-31444087

RESUMEN

In silico virtual screening using the ligand-based ROCS approach and the commercially purchasable compound collection from the ZINC database resulted in the identification of distinctly different and novel acetamide core frameworks with series representatives 1a and 2a exhibiting nanomolar affinity in the kinase domain only hTrkA HTRF biochemical assay. Additional experimental validation using the Caliper technology with either the active or inactive kinase conditions demonstrated the leads, 1a and 2a, to preferentially bind the kinase inactive state. X-ray structural analysis of the kinase domain of hTrkA…1a/2a complexes confirmed the kinase, bind the inhibitor leads in the inactive state and to exhibit a type 2 binding mode with the DFG-out and αC-helix out conformation. The leads also demonstrated sub-micromolar activity in the full length hTrkA cell-based assay and selectivity against the closely related hTrkB isoform. However, the poor microsomal stability and permeability of the leads is suggestive of a multiparametric lead optimization effort requirement for further progression.


Asunto(s)
Diseño de Fármacos , Inhibidores de Proteínas Quinasas/farmacología , Receptor trkA/antagonistas & inhibidores , Simulación por Computador , Humanos , Ligandos , Modelos Moleculares , Simulación del Acoplamiento Molecular , Unión Proteica , Conformación Proteica , Inhibidores de Proteínas Quinasas/química , Receptor trkA/química , Relación Estructura-Actividad
2.
Bioorg Med Chem Lett ; 29(22): 126680, 2019 11 15.
Artículo en Inglés | MEDLINE | ID: mdl-31610943

RESUMEN

Virtual in silico structure-guided modeling, followed by in vitro biochemical screening of a subset of commercially purchasable compound collection resulted in the identification of several human tropomyosin receptor kinase A (hTrkA) inhibitors that bind the orthosteric ATP site and exhibit binding preference for the inactive kinase conformation. The type 2 binding mode with the DFG-out and αC-helix out hTrkA kinase domain conformation was confirmed from X-ray crystallographic solution of a representative inhibitor analog, 1b. Additional hTrkA and hTrkB (selectivity) assays in recombinant cells, neurite outgrowth inhibition using rat PC12 cells, early ADME profiling, and preliminary pharmacokinetic evaluation in rodents guided the lead inhibitor progression in the discovery screening funnel.


Asunto(s)
Receptor trkA/antagonistas & inhibidores , Animales , Cristalografía por Rayos X , Relación Dosis-Respuesta a Droga , Humanos , Modelos Moleculares , Estructura Molecular , Proyección Neuronal/efectos de los fármacos , Células PC12 , Ratas , Receptor trkA/metabolismo , Relación Estructura-Actividad
3.
ACS Med Chem Lett ; 12(11): 1847-1852, 2021 Nov 11.
Artículo en Inglés | MEDLINE | ID: mdl-34795875

RESUMEN

Human ß-nerve growth factor (ß-NGF) and its associated receptor, human tropomyosin receptor kinase A (hTrkA), have been demonstrated to be key factors in the perception of pain. However, efficacious small molecule therapies targeting the intracellularly located hTrkA kinase have not been explored thoroughly for pain management. Herein, we report the pharmacological properties of a selective hTrkA allosteric inhibitor, 1. 1 was shown to be active against the full length hTrkA, showing preferential binding for the inactive kinase, and was confirmed through the X-ray of hTrkA···1 bound complex. 1 was also found to inhibit ß-NGF induced neurite outgrowth in rat PC12 cells. Daily oral administration of 1 improved the joint compression threshold of rats injected intra-articularly with monoiodoacetate over a 14-day period. The efficacy of 1 in a relevant chronic pain model of osteoarthritis coupled with in vitro confirmation of target mediation makes allosteric hTrkA inhibitors potential candidates for modulating pain.

4.
RSC Med Chem ; 11(3): 370-377, 2020 Mar 01.
Artículo en Inglés | MEDLINE | ID: mdl-33479642

RESUMEN

In silico virtual screening followed by in vitro biochemical, biophysical, and cellular screening resulted in the identification of distinctly different hTrkA kinase domain inhibitor scaffolds. X-ray structural analysis of representative inhibitors bound to hTrkA kinase domain defined the binding mode and rationalized the mechanism of action. Preliminary assessment of the sub-type selectivity against the closest hTrkB isoform, and early ADME guided the progression of select inhibitor leads in the screening cascade. The possibility of the actives sustaining to known hTrkA resistance mutations assessed in silico offers initial guidance into the required multiparametric lead optimization to arrive at a clinical candidate.

5.
ACS Chem Biol ; 14(6): 1205-1216, 2019 06 21.
Artículo en Inglés | MEDLINE | ID: mdl-31059222

RESUMEN

Access to cryptic binding pockets or allosteric sites on a kinase that present themselves when the enzyme is in a specific conformational state offers a paradigm shift in designing the next generation small molecule kinase inhibitors. The current work showcases an extensive and exhaustive array of in vitro biochemical and biophysical tools and techniques deployed along with structural biology efforts of inhibitor-bound kinase complexes to characterize and confirm the cryptic allosteric binding pocket and docking mode of the small molecule actives identified for hTrkA. Specifically, assays were designed and implemented to lock the kinase in a predominantly active or inactive conformation and the effect of the kinase inhibitor probed to understand the hTrkA binding and hTrkB selectivity. The current outcome suggests that inhibitors with a fast association rate take advantage of the inactive protein conformation and lock the kinase state by also exhibiting a slow off-rate. This in turn shifts the inactive/active state protein conformational equilibrium cycle, affecting the subsequent downstream signaling.


Asunto(s)
Inhibidores de Proteínas Quinasas/farmacología , Receptor trkA/antagonistas & inhibidores , Regulación Alostérica , Animales , Simulación por Computador , Humanos , Ligandos , Neuritas , Células PC12 , Inhibidores de Proteínas Quinasas/metabolismo , Ratas , Receptor trkA/metabolismo
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