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Structural dataset from microsecond-long simulations of yeast mitofusin Fzo1 in the context of membrane docking

In this work we present a novel set of possible auto-oligomerisation states of yeast protein Fzo1 in the context of membrane docking. The dataset reports atomistic models and trajectories derived from a molecular dynamics study of the yeast mitofusin Fzo1, residues 101–855. The initial modelling was...

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Detalles Bibliográficos
Autores principales: Brandner, Astrid, De Vecchis, Dario, Baaden, Marc, Cohen, Mickael M., Taly, Antoine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811871/
https://www.ncbi.nlm.nih.gov/pubmed/31667232
http://dx.doi.org/10.1016/j.dib.2019.104460
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author Brandner, Astrid
De Vecchis, Dario
Baaden, Marc
Cohen, Mickael M.
Taly, Antoine
author_facet Brandner, Astrid
De Vecchis, Dario
Baaden, Marc
Cohen, Mickael M.
Taly, Antoine
author_sort Brandner, Astrid
collection PubMed
description In this work we present a novel set of possible auto-oligomerisation states of yeast protein Fzo1 in the context of membrane docking. The dataset reports atomistic models and trajectories derived from a molecular dynamics study of the yeast mitofusin Fzo1, residues 101–855. The initial modelling was followed by coarse-grained molecular dynamics simulation to evaluate the stability and the dynamics of each structural model in a solvated membrane environment. Simulations were run for 1 μs and collected with GROMACS v5.0.4 using the martini v2.1 force field. For each structural model, the dataset comprises the production phase under semi-isotropic condition at 1 bar, 310 K and 150 mn NaCl. The integration step is 20 fs and coordinates have been saved every 1 ns. Each trajectory is associated with a ready-available visualization state for the VMD software. These structural detailed informations are a ready-available platform to plan integrative studies on the mitofusin Fzo1 and will aid the community to further elucidate the mitochondrial tethering process during membrane fusion. This dataset is based on the publication “Physics-based oligomeric models of the yeast mitofusin Fzo1 at the molecular scale in the context of membrane docking.” (Brandner and De Vecchis et al., 2019)”.
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spelling pubmed-68118712019-10-30 Structural dataset from microsecond-long simulations of yeast mitofusin Fzo1 in the context of membrane docking Brandner, Astrid De Vecchis, Dario Baaden, Marc Cohen, Mickael M. Taly, Antoine Data Brief Biochemistry, Genetics and Molecular Biology In this work we present a novel set of possible auto-oligomerisation states of yeast protein Fzo1 in the context of membrane docking. The dataset reports atomistic models and trajectories derived from a molecular dynamics study of the yeast mitofusin Fzo1, residues 101–855. The initial modelling was followed by coarse-grained molecular dynamics simulation to evaluate the stability and the dynamics of each structural model in a solvated membrane environment. Simulations were run for 1 μs and collected with GROMACS v5.0.4 using the martini v2.1 force field. For each structural model, the dataset comprises the production phase under semi-isotropic condition at 1 bar, 310 K and 150 mn NaCl. The integration step is 20 fs and coordinates have been saved every 1 ns. Each trajectory is associated with a ready-available visualization state for the VMD software. These structural detailed informations are a ready-available platform to plan integrative studies on the mitofusin Fzo1 and will aid the community to further elucidate the mitochondrial tethering process during membrane fusion. This dataset is based on the publication “Physics-based oligomeric models of the yeast mitofusin Fzo1 at the molecular scale in the context of membrane docking.” (Brandner and De Vecchis et al., 2019)”. Elsevier 2019-08-31 /pmc/articles/PMC6811871/ /pubmed/31667232 http://dx.doi.org/10.1016/j.dib.2019.104460 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Biochemistry, Genetics and Molecular Biology
Brandner, Astrid
De Vecchis, Dario
Baaden, Marc
Cohen, Mickael M.
Taly, Antoine
Structural dataset from microsecond-long simulations of yeast mitofusin Fzo1 in the context of membrane docking
title Structural dataset from microsecond-long simulations of yeast mitofusin Fzo1 in the context of membrane docking
title_full Structural dataset from microsecond-long simulations of yeast mitofusin Fzo1 in the context of membrane docking
title_fullStr Structural dataset from microsecond-long simulations of yeast mitofusin Fzo1 in the context of membrane docking
title_full_unstemmed Structural dataset from microsecond-long simulations of yeast mitofusin Fzo1 in the context of membrane docking
title_short Structural dataset from microsecond-long simulations of yeast mitofusin Fzo1 in the context of membrane docking
title_sort structural dataset from microsecond-long simulations of yeast mitofusin fzo1 in the context of membrane docking
topic Biochemistry, Genetics and Molecular Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811871/
https://www.ncbi.nlm.nih.gov/pubmed/31667232
http://dx.doi.org/10.1016/j.dib.2019.104460
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