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Published on: January 31, 2022
Refinement of atomic models in high resolution EM reconstructions using Flex-EM and local assessment
Agnel Praveen Joseph1, Sony Malhotra2, Tom Burnley2
1Institute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck College, University of London, Malet Street, London WC1E 7HX, United Kingdom.
Flex-EM/MODELLER effectively refines atomic models in high-resolution (2.5-4.5Å) 3D electron microscopy maps. This method improves structural accuracy and aids in assessing model quality for biological macromolecules.
Area of Science:
- Structural Biology
- Biophysics
- Computational Biology
Background:
- Advancements in 3D Electron Microscopy (EM) necessitate improved methods for atomic model fitting and refinement.
- Existing flexible fitting methods like Flex-EM/MODELLER have been validated for intermediate-to-low resolution density maps.
Purpose of the Study:
- To evaluate the suitability of Flex-EM/MODELLER for refining atomic models in high-resolution (2.5-4.5Å) 3D EM density maps.
- To demonstrate a hierarchical refinement protocol for enhanced structural accuracy.
- To assess the performance of the method using both simulated and experimental data.
Main Methods:
- Employed a hierarchical refinement protocol with progressively reduced atomic displacement steps.
- Utilized simulated and experimental 3D EM data, including a map of Apo-GroEL.
- Assessed local fit using the segment-based Manders' overlap coefficient (SMOC) score.
- Evaluated model quality using the Qmean score.
Main Results:
- Successfully refined atomic models in high-resolution 3D EM density maps (2.5-4.5Å).
- The hierarchical protocol demonstrated effectiveness in improving structural refinement.
- SMOC profiles aided in identifying poorly fitted regions within the models.
- Demonstrated the significant impact of initial model errors on the goodness-of-fit.
Conclusions:
- Flex-EM/MODELLER is suitable for high-resolution structure refinement in 3D EM.
- The hierarchical approach and assessment tools (SMOC, Qmean) enhance model accuracy and quality evaluation.
- The study highlights the importance of initial model quality and discusses Flex-EM's integration into CCP-EM.
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