Literature DB >> 28636906

Flexible Fitting of Atomic Models into Cryo-EM Density Maps Guided by Helix Correspondences.

Hang Dou1, Derek W Burrows2, Matthew L Baker3, Tao Ju2.   

Abstract

Although electron cryo-microscopy (cryo-EM) has recently achieved resolutions of better than 3 Å, at which point molecular modeling can be done directly from the density map, analysis and annotation of a cryo-EM density map still primarily rely on fitting atomic or homology models to the density map. In this article, we present, to our knowledge, a new method for flexible fitting of known or modeled protein structures into cryo-EM density maps. Unlike existing methods that are guided by local density gradients, our method is guided by correspondences between the α-helices in the density map and model, and does not require an initial rigid-body fitting step. Compared with current methods on both simulated and experimental density maps, our method not only achieves greater accuracy for proteins with large deformations but also runs as fast or faster than many of the other flexible fitting routines.
Copyright © 2017 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28636906      PMCID: PMC5479111          DOI: 10.1016/j.bpj.2017.04.054

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  49 in total

1.  Fitting atomic models into electron-microscopy maps.

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

2.  Flexible multi-scale fitting of atomic structures into low-resolution electron density maps with elastic network normal mode analysis.

Authors:  Florence Tama; Osamu Miyashita; Charles L Brooks
Journal:  J Mol Biol       Date:  2004-04-02       Impact factor: 5.469

3.  Finding rigid bodies in protein structures: Application to flexible fitting into cryoEM maps.

Authors:  Arun Prasad Pandurangan; Maya Topf
Journal:  J Struct Biol       Date:  2011-11-07       Impact factor: 2.867

4.  Real-space refinement with DireX: from global fitting to side-chain improvements.

Authors:  Zhe Wang; Gunnar F Schröder
Journal:  Biopolymers       Date:  2012-09       Impact factor: 2.505

5.  Simulating Large-Scale Conformational Changes of Proteins by Accelerating Collective Motions Obtained from Principal Component Analysis.

Authors:  Junhui Peng; Zhiyong Zhang
Journal:  J Chem Theory Comput       Date:  2014-08-12       Impact factor: 6.006

6.  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

7.  Least-squares fitting of two 3-d point sets.

Authors:  K S Arun; T S Huang; S D Blostein
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1987-05       Impact factor: 6.226

Review 8.  Single-particle reconstruction of biological macromolecules in electron microscopy--30 years.

Authors:  Joachim Frank
Journal:  Q Rev Biophys       Date:  2009-08       Impact factor: 5.318

9.  Targeted conformational search with map-restrained self-guided Langevin dynamics: application to flexible fitting into electron microscopic density maps.

Authors:  Xiongwu Wu; Sriram Subramaniam; David A Case; Katherine W Wu; Bernard R Brooks
Journal:  J Struct Biol       Date:  2013-07-20       Impact factor: 2.867

10.  Combined approaches to flexible fitting and assessment in virus capsids undergoing conformational change.

Authors:  Arun Prasad Pandurangan; Shabih Shakeel; Sarah Jane Butcher; Maya Topf
Journal:  J Struct Biol       Date:  2013-12-12       Impact factor: 2.867

View more
  6 in total

1.  EMNUSS: a deep learning framework for secondary structure annotation in cryo-EM maps.

Authors:  Jiahua He; Sheng-You Huang
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 11.622

2.  Accurate flexible refinement of atomic models against medium-resolution cryo-EM maps using damped dynamics.

Authors:  Julio A Kovacs; Vitold E Galkin; Willy Wriggers
Journal:  BMC Struct Biol       Date:  2018-09-15

3.  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

Review 4.  Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps.

Authors:  Eman Alnabati; Daisuke Kihara
Journal:  Molecules       Date:  2019-12-24       Impact factor: 4.411

5.  Multi-Scale Flexible Fitting of Proteins to Cryo-EM Density Maps at Medium Resolution.

Authors:  Marta Kulik; Takaharu Mori; Yuji Sugita
Journal:  Front Mol Biosci       Date:  2021-03-19

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

Authors:  Bahareh Behkamal; Mahmoud Naghibzadeh; Mohammad Reza Saberi; Zeinab Amiri Tehranizadeh; Andrea Pagnani; Kamal Al Nasr
Journal:  Biomolecules       Date:  2021-11-26
  6 in total

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