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CROWDY

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Toward the microscopic simulations of cell like environments.

In living cells, proteins operate in an extremely crowded environment, which has a substantial impact on their structural and dynamical properties. Taking into account the effects of macromolecular crowding is thus imperative for... ver más

30/04/2021

CNRS

197K€

Presupuesto del proyecto: 197K€

Líder del proyecto

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-04-30

MSCA-IF-2018: Individual Fellowships

I+D

Cerrada hace 6 años

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Información adicional privada

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

1 Participantes

CNRS

196.71K€ | Lider

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Duración del proyecto: 24 meses Fecha Inicio: 2019-04-16
Fecha Fin: 2021-04-30

Líder del proyecto

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 197K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto In living cells, proteins operate in an extremely crowded environment, which has a substantial impact on their structural and dynamical properties. Taking into account the effects of macromolecular crowding is thus imperative for a full understanding of protein function in vivo. However, despite a growing interest in the characterization of in-cell crowding, its net effect remains only partially understood as experimental studies addressing such phenomena in the cytoplasm are very challenging. In this project, we aim to examine the effect of macromolecular crowding on protein mobility and stability at the microscopic resolution. To this end, we will deploy a novel multi-scale simulation approach developed in the host laboratory. This multi-scale framework combines a detailed description of proteins with an efficient lattice-based model of solvent hydrodynamics. In the course of the project, we will consider systems of progressive complexity, ranging from crowded binary protein suspensions through a model of a bacterial cytoplasm and a lipid vesicle forming a biological nanoreactor. Our computational studies will be performed in close contact with two top-level experimental groups active in the field. We will pay particular attention to the behavior of superoxide dismutase 1, a protein involved in amyotrophic lateral sclerosis. Our multi-scale molecular simulations will shed light on how protein dynamics and stability are locally affected by the heterogeneity of the cellular environment. Moreover, we will investigate how crowding is modulated by the presence of membrane surfaces. The simulations will allow us to clarify the origins of crowding effects at an atomistic level, which will provide a vital support for the microscopic interpretation of experimental data. Thus, our project will offer unprecedented insights into the structure and dynamics of the crowded environment inside living cells.

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