[Dataset] Identification of differential biological activity and synergy between the PARP inhibitor rucaparib and its major metabolite

The (poly)pharmacology of drug metabolites is seldom comprehensively characterized in drug discovery. However, some drug metabolites can reach high plasma concentrations and display in vivo activity. Here, we use computational and experimental methods to comprehensively characterize the kinase polyp...

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Detalles Bibliográficos
Autores: Hu, Huabin, Serra, Carme, Zhang, Wenjie, Scrivo, Aurora, Fernández-Carasa, Irene, Consiglio, Antonella, Aytes, Alvaro, Pujana, Miguel Ángel, Llebaria, Amadeu, Antolin, Albert A.
Tipo de recurso: conjunto de datos
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/383623
Acceso en línea:http://hdl.handle.net/10261/383623
https://digital.csic.es/handle/10261/349866
Access Level:acceso abierto
Palabra clave:Synuclein
PARP
PLK2
Parkinson’s disease
Drug combinations
Metabolite
off-target
Polypharmacology
Prostate cancer
Rucaparib
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Descripción
Sumario:The (poly)pharmacology of drug metabolites is seldom comprehensively characterized in drug discovery. However, some drug metabolites can reach high plasma concentrations and display in vivo activity. Here, we use computational and experimental methods to comprehensively characterize the kinase polypharmacology of M324, the major metabolite of the PARP1 inhibitor rucaparib. We demonstrate that M324 displays unique PLK2 inhibition at clinical concentrations. This kinase activity could have implications for the efficacy and safety of rucaparib and therefore warrants further clinical investigation. Importantly, we identify synergy between the drug and the metabolite in prostate cancer models and a complete reduction of α-synuclein accumulation in Parkinson's disease models. These activities could be harnessed in the clinic or open new drug discovery opportunities. The study reported here highlights the importance of characterizing the activity of drug metabolites to comprehensively understand drug response in the clinic and exploit our current drug arsenal in precision medicine.