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1.
Curr Opin Struct Biol ; 52: 103-110, 2018 10.
Artículo en Inglés | MEDLINE | ID: mdl-30321805

RESUMEN

Drug discovery is widely recognized to be a difficult and costly activity in large part due to the challenge of identifying chemical matter which simultaneously optimizes multiple properties, one of which is affinity for the primary biological target. Further, many of these properties are difficult to predict ahead of expensive and time-consuming compound synthesis and experimental testing. Here we highlight recent work to develop compound affinity prediction models, and extensively investigate the value such models may provide to preclinical drug discovery. We demonstrate that the ability of these models to improve the overall probability of success is crucially dependent on the shape of the error distribution, not just the root-mean-square error. In particular, while scoring more molecule ideas generally improves the probability of project success when the error distribution is Gaussian, fat-tail distributions such as a Cauchy distribution, can lead to a situation where scoring more ideas actually decreases the overall probability of success.


Asunto(s)
Descubrimiento de Drogas , Modelos Moleculares , Animales , Descubrimiento de Drogas/métodos , Evaluación Preclínica de Medicamentos , Humanos , Ligandos , Modelos Teóricos , Proteínas/química
2.
J Med Chem ; 59(11): 5356-67, 2016 06 09.
Artículo en Inglés | MEDLINE | ID: mdl-27167608

RESUMEN

Elevated levels of human lipoprotein-associated phospholipase A2 (Lp-PLA2) are associated with cardiovascular disease and dementia. A fragment screen was conducted against Lp-PLA2 in order to identify novel inhibitors. Multiple fragment hits were observed in different regions of the active site, including some hits that bound in a pocket created by movement of a protein side chain (approximately 13 Å from the catalytic residue Ser273). Using structure guided design, we optimized a fragment that bound in this pocket to generate a novel low nanomolar chemotype, which did not interact with the catalytic residues.


Asunto(s)
1-Alquil-2-acetilglicerofosfocolina Esterasa/antagonistas & inhibidores , Descubrimiento de Drogas , Inhibidores Enzimáticos/farmacología , Pirazoles/farmacología , Tiazoles/farmacología , 1-Alquil-2-acetilglicerofosfocolina Esterasa/metabolismo , Sitios de Unión/efectos de los fármacos , Cristalografía por Rayos X , Relación Dosis-Respuesta a Droga , Evaluación Preclínica de Medicamentos , Inhibidores Enzimáticos/síntesis química , Inhibidores Enzimáticos/química , Humanos , Modelos Moleculares , Estructura Molecular , Pirazoles/síntesis química , Pirazoles/química , Relación Estructura-Actividad , Tiazoles/síntesis química , Tiazoles/química
3.
Bioorg Med Chem Lett ; 19(1): 27-30, 2009 Jan 01.
Artículo en Inglés | MEDLINE | ID: mdl-19058966

RESUMEN

Endothelial lipase (EL) activity has been implicated in HDL catabolism, vascular inflammation, and atherogenesis, and inhibitors are therefore expected to be useful for the treatment of cardiovascular disease. Sulfonylfuran urea 1 was identified in a high-throughput screening campaign as a potent and non-selective EL inhibitor. A lead optimization effort was undertaken to improve potency and selectivity, and modifications leading to improved LPL selectivity were identified. Radiolabeling studies were undertaken to establish the mechanism of action for these inhibitors, which were ultimately demonstrated to be irreversible inhibitors.


Asunto(s)
Furanos , Lipasa/antagonistas & inhibidores , Compuestos de Sulfonilurea/síntesis química , Animales , Enfermedades Cardiovasculares/tratamiento farmacológico , Descubrimiento de Drogas , Evaluación Preclínica de Medicamentos , Endotelio/enzimología , Inhibidores Enzimáticos/química , Inhibidores Enzimáticos/farmacología , Humanos , Compuestos de Sulfonilurea/farmacología
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