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Simulation-Based Methods for Model Building and Refinement in Cryoelectron Microscopy
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DOI：10.1021/acs.jcim.0c00087.png)
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Abstract
En 中文
Advances in cryoelectron microscopy (cryo-EM) have revolutionized the structural investigation of large macromolecular assemblies. In this review, we first provide a broad overview of modeling methods used for flexible fitting of molecular models into cryo-EM density maps. We give special attention to approaches rooted in molecular simulations-atomistic molecular dynamics and Monte Carlo. Concise descriptions of the methods are given along with discussion of their advantages, limitations, and most popular alternatives. We also describe recent extensions of the widely used molecular dynamics flexible fitting (MDFF) method and discuss how different model-building techniques could be incorporated into new hybrid modeling schemes and simulation workflows. Finally, we provide two illustrative examples of model-building and refinement strategies employing MDFF, cascade MDFF, and RosettaCM. These examples come from recent cryo-EM studies that elucidated transcription preinitiation complexes and shed light on the functional roles of these assemblies in gene expression and gene regulation.
Keywords:
cryoelectron microscopy
molecular modeling
molecular dynamics flexible fitting (MDFF)
de novo model building
hybrid methods
gene regulation
transcription preinitiation complexes
RNA polymerases
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