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

Astrid Brandner1,2, Dario De Vecchis1,2, Marc Baaden1,2

  • 1Institut de Biologie Physico-Chimique-Fondation Edmond de Rothschild, PSL Research University, Paris, France.

Data in Brief
|November 1, 2019
PubMed

Insights

This study presents novel models of yeast Fzo1 protein oligomerization during membrane docking. These molecular dynamics simulations provide insights into mitochondrial fusion mechanisms.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Structural Biology

Background:

  • Yeast mitofusin Fzo1 is crucial for mitochondrial fusion.
  • Understanding Fzo1's auto-oligomerization is key to elucidating membrane tethering.

Purpose of the Study:

  • To generate and analyze novel auto-oligomerization states of yeast Fzo1.
  • To provide atomistic models and trajectories for studying Fzo1 in membrane docking.

Main Methods:

  • Atomistic and coarse-grained molecular dynamics simulations using GROMACS and the Martini force field.
  • Simulations conducted for 1 µs in a solvated membrane environment with specific salt conditions.
  • Data includes structural models, trajectories, and VMD visualization states.

Main Results:

  • A novel dataset of yeast Fzo1 auto-oligomerization states was generated.
  • Stability and dynamics of structural models were evaluated in a membrane context.
  • Detailed structural information is provided for further integrative studies.

Conclusions:

  • The dataset offers a platform for planning integrative studies on Fzo1.
  • This work aids in elucidating the mitochondrial tethering process during membrane fusion.