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TransQST

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Translational quantitative systems toxicology to improve the understanding of th...

Translational quantitative systems toxicology to improve the understanding of the safety of medicines Sofia 116030 TransQST will develop a Quantitative Systems Toxicology (QST) approach, employing pre-existing data where possible, in order to yield new mechanistic insight into drug-induced toxicity. A central tenet of our programme will be to... ver más

31/08/2022

THE UNIVERSITY OF...

18M€

Presupuesto del proyecto: 18M€

Líder del proyecto

THE UNIVERSITY OF LIVERPOOL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 24 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-08-31

IMI2-2015-06-01: Development of Quantitative System... Specific Challenge:Modeling is fundamental to drug development. But there is the need to develop inn...

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Cerrada hace 9 años

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Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

24 Participantes

THE UNIVERSITY OF LIVERPOOL

1.16M€ | Lider

Fundació Institut Hospital d...

900.53K€ | Participante

UOXF

325.00K€ | Participante

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Duración del proyecto: 68 meses Fecha Inicio: 2016-12-22
Fecha Fin: 2022-08-31

Líder del proyecto

THE UNIVERSITY OF LIVERPOOL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 18M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto TransQST will develop a Quantitative Systems Toxicology (QST) approach, employing pre-existing data where possible, in order to yield new mechanistic insight into drug-induced toxicity. A central tenet of our programme will be to ensure the human physiological and pharmacological relevance of any test system that has been (or will be) used for generating the input data for modelling. By adopting this approach, we will be able to accurately interpret what happens when test systems are perturbed by drug exposure, and ensure translatability of modelling tools. Mechanistic translational biomarkers are a core aspect of our approach and will be applied in parallel with evidence for understanding how to develop, model and apply such biomarkers in a QST setting. The project is structured in 8 work packages to provide the following outcomes: curate the best available experimental data suitable for modelling adverse drug reactions; provide fit-for-purpose QST models that will address key toxicity measures for liver, kidney, heart and GI-tract; provide quantitative risk assessment for off-target toxicity in man based on in vitro and in vivo models; provide a quantitative mechanistic read-across from species (in vivo and in vitro) currently used for the toxicological evaluation of a new drug; provide definition and applicability of the human physiological relevance of preclinical test systems; provide a battery of translational biomarkers that can be used for quantitative read-across from in vitro systems to man and which relate to intracellular pathways (and systems) relevant to drug toxicity. Led by the University of Liverpool, TransQST brings together 14 partners, characterized by their scientific rigour and proven track record. Collectively they will enable achievement of the goals of the call, thanks to their complementarity, proven ability to work together (and with EFPIA partners), and their understanding of how to ensure the relevance of QST to human biology.

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