MDSPACE: Extracting continuous conformational landscapes from cryo-EM single particle datasets using 3D-to-2D flexible fitting based on Molecular Dynamics simulation - Archive ouverte HAL Access content directly
Journal Articles Journal of Molecular Biology Year : 2023

MDSPACE: Extracting continuous conformational landscapes from cryo-EM single particle datasets using 3D-to-2D flexible fitting based on Molecular Dynamics simulation

Abstract

This article presents an original approach for extracting atomic-resolution landscapes of continuous conformational variability of biomolecular complexes from cryo electron microscopy (cryo-EM) single particle images. This approach is based on a new 3D-to-2D flexible fitting method, which uses molecular dynamics (MD) simulation and is embedded in an iterative conformational-landscape refinement scheme. This new approach is referred to as MDSPACE, which stands for Molecular Dynamics simulation for Single Particle Analysis of Continuous Conformational hEterogeneity. The article describes the MDSPACE approach and shows its performance using synthetic and experimental datasets.
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Dates and versions

hal-03929029 , version 1 (08-01-2023)

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Rémi Vuillemot, Alex Mirzaei, Mohamad Harastani, Ilyes Hamitouche, Léo Fréchin, et al.. MDSPACE: Extracting continuous conformational landscapes from cryo-EM single particle datasets using 3D-to-2D flexible fitting based on Molecular Dynamics simulation. Journal of Molecular Biology, 2023, pp.167951. ⟨10.1016/j.jmb.2023.167951⟩. ⟨hal-03929029⟩
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