Literature DB >> 28262392

Variability of Protein Structure Models from Electron Microscopy.

Lyman Monroe1, Genki Terashi2, Daisuke Kihara3.   

Abstract

An increasing number of biomolecular structures are solved by electron microscopy (EM). However, the quality of structure models determined from EM maps vary substantially. To understand to what extent structure models are supported by information embedded in EM maps, we used two computational structure refinement methods to examine how much structures can be refined using a dataset of 49 maps with accompanying structure models. The extent of structure modification as well as the disagreement between refinement models produced by the two computational methods scaled inversely with the global and the local map resolutions. A general quantitative estimation of deviations of structures for particular map resolutions are provided. Our results indicate that the observed discrepancy between the deposited map and the refined models is due to the lack of structural information present in EM maps and thus these annotations must be used with caution for further applications.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  EMDB; computational modelling; cryo-EM; electron microscopy; model refinement; protein structure modelling; protein tertiary structure; structure biology; structure optimization

Mesh:

Substances:

Year:  2017        PMID: 28262392      PMCID: PMC5382112          DOI: 10.1016/j.str.2017.02.004

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


  41 in total

1.  Fitting atomic models into electron-microscopy maps.

Authors:  M G Rossmann
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2000-10

2.  Toward high-resolution de novo structure prediction for small proteins.

Authors:  Philip Bradley; Kira M S Misura; David Baker
Journal:  Science       Date:  2005-09-16       Impact factor: 47.728

3.  Fitting low-resolution cryo-EM maps of proteins using constrained geometric simulations.

Authors:  Craig C Jolley; Stephen A Wells; Petra Fromme; M F Thorpe
Journal:  Biophys J       Date:  2007-11-09       Impact factor: 4.033

4.  Structure of the L Protein of Vesicular Stomatitis Virus from Electron Cryomicroscopy.

Authors:  Bo Liang; Zongli Li; Simon Jenni; Amal A Rahmeh; Benjamin M Morin; Timothy Grant; Nikolaus Grigorieff; Stephen C Harrison; Sean P J Whelan
Journal:  Cell       Date:  2015-07-02       Impact factor: 41.582

5.  Computational methods for constructing protein structure models from 3D electron microscopy maps.

Authors:  Juan Esquivel-Rodríguez; Daisuke Kihara
Journal:  J Struct Biol       Date:  2013-06-21       Impact factor: 2.867

6.  Features and development of Coot.

Authors:  P Emsley; B Lohkamp; W G Scott; K Cowtan
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2010-03-24

7.  Outcome of the first electron microscopy validation task force meeting.

Authors:  Richard Henderson; Andrej Sali; Matthew L Baker; Bridget Carragher; Batsal Devkota; Kenneth H Downing; Edward H Egelman; Zukang Feng; Joachim Frank; Nikolaus Grigorieff; Wen Jiang; Steven J Ludtke; Ohad Medalia; Pawel A Penczek; Peter B Rosenthal; Michael G Rossmann; Michael F Schmid; Gunnar F Schröder; Alasdair C Steven; David L Stokes; John D Westbrook; Willy Wriggers; Huanwang Yang; Jasmine Young; Helen M Berman; Wah Chiu; Gerard J Kleywegt; Catherine L Lawson
Journal:  Structure       Date:  2012-02-08       Impact factor: 5.006

8.  PDBe: improved accessibility of macromolecular structure data from PDB and EMDB.

Authors:  Sameer Velankar; Glen van Ginkel; Younes Alhroub; Gary M Battle; John M Berrisford; Matthew J Conroy; Jose M Dana; Swanand P Gore; Aleksandras Gutmanas; Pauline Haslam; Pieter M S Hendrickx; Ingvar Lagerstedt; Saqib Mir; Manuel A Fernandez Montecelo; Abhik Mukhopadhyay; Thomas J Oldfield; Ardan Patwardhan; Eduardo Sanz-García; Sanchayita Sen; Robert A Slowley; Michael E Wainwright; Mandar S Deshpande; Andrii Iudin; Gaurav Sahni; Jose Salavert Torres; Miriam Hirshberg; Lora Mak; Nurul Nadzirin; David R Armstrong; Alice R Clark; Oliver S Smart; Paul K Korir; Gerard J Kleywegt
Journal:  Nucleic Acids Res       Date:  2015-10-17       Impact factor: 16.971

9.  MolProbity: all-atom structure validation for macromolecular crystallography.

Authors:  Vincent B Chen; W Bryan Arendall; Jeffrey J Headd; Daniel A Keedy; Robert M Immormino; Gary J Kapral; Laura W Murray; Jane S Richardson; David C Richardson
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2009-12-21

10.  RELION: implementation of a Bayesian approach to cryo-EM structure determination.

Authors:  Sjors H W Scheres
Journal:  J Struct Biol       Date:  2012-09-19       Impact factor: 2.867

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  7 in total

1.  Constructing atomic structural models into cryo-EM densities using molecular dynamics - Pros and cons.

Authors:  Yuhang Wang; Mrinal Shekhar; Darren Thifault; Christopher J Williams; Ryan McGreevy; Jane Richardson; Abhishek Singharoy; Emad Tajkhorshid
Journal:  J Struct Biol       Date:  2018-08-07       Impact factor: 2.867

2.  Simulation-Based Methods for Model Building and Refinement in Cryoelectron Microscopy.

Authors:  Thomas Dodd; Chunli Yan; Ivaylo Ivanov
Journal:  J Chem Inf Model       Date:  2020-03-31       Impact factor: 4.956

Review 3.  CryoEM-based hybrid modeling approaches for structure determination.

Authors:  C Keith Cassidy; Benjamin A Himes; Zaida Luthey-Schulten; Peijun Zhang
Journal:  Curr Opin Microbiol       Date:  2017-11-04       Impact factor: 7.934

4.  Macromolecular refinement of X-ray and cryoelectron microscopy structures with Phenix/OPLS3e for improved structure and ligand quality.

Authors:  Gydo C P van Zundert; Nigel W Moriarty; Oleg V Sobolev; Paul D Adams; Kenneth W Borrelli
Journal:  Structure       Date:  2021-04-05       Impact factor: 5.871

5.  Protein secondary structure detection in intermediate-resolution cryo-EM maps using deep learning.

Authors:  Sai Raghavendra Maddhuri Venkata Subramaniya; Genki Terashi; Daisuke Kihara
Journal:  Nat Methods       Date:  2019-07-29       Impact factor: 28.547

6.  De novo main-chain modeling for EM maps using MAINMAST.

Authors:  Genki Terashi; Daisuke Kihara
Journal:  Nat Commun       Date:  2018-04-24       Impact factor: 14.919

7.  De novo main-chain modeling with MAINMAST in 2015/2016 EM Model Challenge.

Authors:  Genki Terashi; Daisuke Kihara
Journal:  J Struct Biol       Date:  2018-07-31       Impact factor: 2.867

  7 in total

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