Literature DB >> 25308866

Tracing beta strands using StrandTwister from cryo-EM density maps at medium resolutions.

Dong Si1, Jing He2.   

Abstract

Major secondary structure elements such as α helices and β sheets can be computationally detected from cryoelectron microscopy (cryo-EM) density maps with medium resolutions of 5-10 Å. However, a critical piece of information for modeling atomic structures is missing, because there are no tools to detect β strands from cryo-EM maps at medium resolutions. We propose a method, StrandTwister, to detect the traces of β strands through the analysis of twist, an intrinsic nature of a β sheet. StrandTwister has been tested using 100 β sheets simulated at 10 Å resolution and 39 β sheets computationally detected from cryo-EM density maps at 4.4-7.4 Å resolutions. Although experimentally derived cryo-EM maps contain errors, StrandTwister's best detections over 39 cases were able to detect 81.87% of the β strands, with an overall 1.66 Å two-way distance between the detected and observed β traces. StrandTwister appears to detect the traces of β strands on major β sheets quite accurately, particularly at the central area of a β sheet.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 25308866     DOI: 10.1016/j.str.2014.08.017

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


  19 in total

1.  Comparing an Atomic Model or Structure to a Corresponding Cryo-electron Microscopy Image at the Central Axis of a Helix.

Authors:  Stephanie Zeil; Julio Kovacs; Willy Wriggers; Jing He
Journal:  J Comput Biol       Date:  2016-12-12       Impact factor: 1.479

2.  An Iterative Bézier Method for Fitting Beta-sheet Component of a Cryo-EM Density Map.

Authors:  Michael Poteat; Jing He
Journal:  Mol Based Math Biol       Date:  2017-04-27

3.  Quantification of Twist from the Central Lines of β-Strands.

Authors:  Tunazzina Islam; Michael Poteat; Jing He
Journal:  J Comput Biol       Date:  2018-01       Impact factor: 1.479

4.  Combine Cryo-EM Density Map and Residue Contact for Protein Structure Prediction - A Case Study.

Authors:  Maytha Alshammari; Jing He
Journal:  ACM BCB       Date:  2020-09

5.  Numerical geometry of map and model assessment.

Authors:  Willy Wriggers; Jing He
Journal:  J Struct Biol       Date:  2015-09-28       Impact factor: 2.867

6.  Deep Convolutional Neural Networks for Detecting Secondary Structures in Protein Density Maps from Cryo-Electron Microscopy.

Authors:  Rongjian Li; Dong Si; Tao Zeng; Shuiwang Ji; Jing He
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2017-01-19

7.  CHALLENGES IN MATCHING SECONDARY STRUCTURES IN CRYO-EM: AN EXPLORATION.

Authors:  Devin Haslam; Mohammad Zubair; Desh Ranjan; Abhishek Biswas; Jing He
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2017-01-19

8.  Comparison of an Atomic Model and Its Cryo-EM Image at the Central Axis of a Helix.

Authors:  Jing He; Stephanie Zeil; Hussam Hallak; Kele McKaig; Julio Kovacs; Willy Wriggers
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2015-11

9.  An Effective Computational Method Incorporating Multiple Secondary Structure Predictions in Topology Determination for Cryo-EM Images.

Authors:  Abhishek Biswas; Desh Ranjan; Mohammad Zubair; Stephanie Zeil; Kamal Al Nasr; Jing He
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2016-03-17       Impact factor: 3.710

10.  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

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