Molecular dynamics-based refinement and validation for sub-5 Å cryo-electron microscopy maps

Author:

Singharoy Abhishek1,Teo Ivan12,McGreevy Ryan1,Stone John E1,Zhao Jianhua3,Schulten Klaus12ORCID

Affiliation:

1. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, United States

2. Department of Physics, University of Illinois at Urbana-Champaign, Urbana, United States

3. Department of Biochemistry and Biophysics, University of California San Francisco School of Medicine, San Francisco, United States

Abstract

Two structure determination methods, based on the molecular dynamics flexible fitting (MDFF) paradigm, are presented that resolve sub-5 Å cryo-electron microscopy (EM) maps with either single structures or ensembles of such structures. The methods, denoted cascade MDFF and resolution exchange MDFF, sequentially re-refine a search model against a series of maps of progressively higher resolutions, which ends with the original experimental resolution. Application of sequential re-refinement enables MDFF to achieve a radius of convergence of ~25 Å demonstrated with the accurate modeling of β-galactosidase and TRPV1 proteins at 3.2 Å and 3.4 Å resolution, respectively. The MDFF refinements uniquely offer map-model validation and B-factor determination criteria based on the inherent dynamics of the macromolecules studied, captured by means of local root mean square fluctuations. The MDFF tools described are available to researchers through an easy-to-use and cost-effective cloud computing resource on Amazon Web Services.

Funder

National Institutes of Health

National Science Foundation

Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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