Literature DB >> 32771523

A New Protocol for Atomic-Level Protein Structure Modeling and Refinement Using Low-to-Medium Resolution Cryo-EM Density Maps.

Biao Zhang1, Xi Zhang2, Robin Pearce2, Hong-Bin Shen3, Yang Zhang4.   

Abstract

The rapid progress of cryo-electron microscopy (cryo-EM) in structural biology has raised an urgent need for robust methods to create and refine atomic-level structural models using low-resolution EM density maps. We propose a new protocol to create initial models using I-TASSER protein structure prediction, followed by EM density map-based rigid-body structure fitting, flexible fragment adjustment and atomic-level structure refinement simulations. The protocol was tested on a large set of 285 non-homologous proteins and generated structural models with correct folds for 260 proteins, where 28% had RMSDs below 2 Å. Compared to other state-of-the-art methods, the major advantage of the proposed pipeline lies in the uniform structure prediction and refinement protocol, as well as the extensive structural re-assembly simulations, which allow for low-to-medium resolution EM density map-guided structure modeling starting from amino acid sequences. Interestingly, the quality of both the image fitting and subsequent structure refinement was found to be strongly correlated with the correctness of the initial I-TASSER models; this is mainly due to the different correlation patterns observed between force field and structural quality for the models with template modeling score (or TM-score, a metric quantifying the similarity of models to the native) above and below a threshold of 0.5. Overall, the results demonstrate a new avenue that is ready to use for large-scale cryo-EM-based structure modeling and atomic-level density map-guided structure refinement.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cryo-EM; protein structure prediction; replica-exchange Monte Carlo simulation; structure and density-map fitting; structure refinement

Year:  2020        PMID: 32771523      PMCID: PMC7502543          DOI: 10.1016/j.jmb.2020.07.027

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  42 in total

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4.  Structural characterization of components of protein assemblies by comparative modeling and electron cryo-microscopy.

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Authors:  S Kirkpatrick; C D Gelatt; M P Vecchi
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9.  Refinement of protein structures into low-resolution density maps using rosetta.

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Review 10.  Modelling structures in cryo-EM maps.

Authors:  Sony Malhotra; Sylvain Träger; Matteo Dal Peraro; Maya Topf
Journal:  Curr Opin Struct Biol       Date:  2019-08-05       Impact factor: 6.809

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5.  Efficient Flexible Fitting Refinement with Automatic Error Fixing for De Novo Structure Modeling from Cryo-EM Density Maps.

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Review 6.  Deep Learning-Based Advances in Protein Structure Prediction.

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7.  Three-Dimensional Graph Matching to Identify Secondary Structure Correspondence of Medium-Resolution Cryo-EM Density Maps.

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