Literature DB >> 24508340

Iterative elastic 3D-to-2D alignment method using normal modes for studying structural dynamics of large macromolecular complexes.

Qiyu Jin1, Carlos Oscar S Sorzano2, José Miguel de la Rosa-Trevín2, José Román Bilbao-Castro3, Rafael Núñez-Ramírez4, Oscar Llorca4, Florence Tama5, Slavica Jonić6.   

Abstract

This article presents a method to study large-scale conformational changes by combining electron microscopy (EM) single-particle image analysis and normal mode analysis (NMA). It is referred to as HEMNMA, which stands for hybrid electron microscopy normal mode analysis. NMA of a reference structure (atomic-resolution structure or EM volume) is used to predict possible motions that are then confronted with EM images within an automatic iterative elastic 3D-to-2D alignment procedure to identify actual motions in the imaged samples. HEMNMA can be used to extensively analyze the conformational changes and may be used in combination with classic discrete procedures. The identified conformations allow modeling of deformation pathways compatible with the experimental data. HEMNMA was tested with synthetic and experimental data sets of E. coli 70S ribosome, DNA polymerase Pol α and B subunit complex of the eukaryotic primosome, and tomato bushy stunt virus.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 24508340     DOI: 10.1016/j.str.2014.01.004

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  24 in total

1.  Directly reconstructing principal components of heterogeneous particles from cryo-EM images.

Authors:  Hemant D Tagare; Alp Kucukelbir; Fred J Sigworth; Hongwei Wang; Murali Rao
Journal:  J Struct Biol       Date:  2015-06-04       Impact factor: 2.867

2.  Bayesian inference of initial models in cryo-electron microscopy using pseudo-atoms.

Authors:  Paul Joubert; Michael Habeck
Journal:  Biophys J       Date:  2015-03-10       Impact factor: 4.033

3.  Frontiers in CryoEM Modeling.

Authors:  Giulia Palermo; Yuji Sugita; Willy Wriggers; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2019-06-13       Impact factor: 4.956

Review 4.  Challenges and opportunities in cryo-EM single-particle analysis.

Authors:  Dmitry Lyumkis
Journal:  J Biol Chem       Date:  2019-02-25       Impact factor: 5.157

5.  StructMap: Elastic Distance Analysis of Electron Microscopy Maps for Studying Conformational Changes.

Authors:  Carlos Oscar Sanchez Sorzano; Ana Lucia Alvarez-Cabrera; Mohsen Kazemi; Jose María Carazo; Slavica Jonić
Journal:  Biophys J       Date:  2016-04-26       Impact factor: 4.033

6.  Hybrid Electron Microscopy Normal Mode Analysis with Scipion.

Authors:  Mohamad Harastani; Carlos Oscar S Sorzano; Slavica Jonić
Journal:  Protein Sci       Date:  2019-11-20       Impact factor: 6.725

7.  Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem.

Authors:  E Katsevich; A Katsevich; A Singer
Journal:  SIAM J Imaging Sci       Date:  2015-01-22       Impact factor: 2.867

8.  Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes.

Authors:  Amit Moscovich; Amit Halevi; Joakim Andén; Amit Singer
Journal:  Inverse Probl       Date:  2020-01-28       Impact factor: 2.407

9.  A local-optimization refinement algorithm in single particle analysis for macromolecular complex with multiple rigid modules.

Authors:  Hong Shan; Zihao Wang; Fa Zhang; Yong Xiong; Chang-Cheng Yin; Fei Sun
Journal:  Protein Cell       Date:  2015-12-17       Impact factor: 14.870

10.  Bayesian Random Tomography of Particle Systems.

Authors:  Nima Vakili; Michael Habeck
Journal:  Front Mol Biosci       Date:  2021-05-21
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