scholarly journals Nhs: Network-based hierarchical segmentation for cryo-electron microscopy density maps

Biopolymers ◽  
2012 ◽  
Vol 97 (9) ◽  
pp. 732-741 ◽  
Author(s):  
Virginia Burger ◽  
Chakra Chennubhotla
Keyword(s):  
Electron Microscopy ◽  
Hierarchical Segmentation ◽  
Cryo Electron Microscopy ◽  
Density Maps

scholarly journals Cylindrical Similarity Measurement for Helices in Medium-Resolution Cryo-Electron Microscopy Density Maps

2020 ◽  
Vol 60 (5) ◽  
pp. 2644-2650 ◽  
Author(s):  
Salim Sazzed ◽  
Peter Scheible ◽  
Maytha Alshammari ◽  
Willy Wriggers ◽  
Jing He
Keyword(s):  
Electron Microscopy ◽  
Similarity Measurement ◽  
Cryo Electron Microscopy ◽  
Density Maps ◽  
Medium Resolution

scholarly journals Opportunities and challenges for assigning cofactors in cryo-EM density maps of chlorophyll-containing proteins

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Christopher J. Gisriel ◽  
Jimin Wang ◽  
Gary W. Brudvig ◽  
Donald A. Bryant
Keyword(s):  
Electron Microscopy ◽  
Electrostatic Potential ◽  
Protein Function ◽  
Protein Complexes ◽  
Chemical Environment ◽  
Cryo Electron Microscopy ◽  
Functional Differences ◽  
Density Maps ◽  
Structural Differences

AbstractThe accurate assignment of cofactors in cryo-electron microscopy maps is crucial in determining protein function. This is particularly true for chlorophylls (Chls), for which small structural differences lead to important functional differences. Recent cryo-electron microscopy structures of Chl-containing protein complexes exemplify the difficulties in distinguishing Chl b and Chl f from Chl a. We use these structures as examples to discuss general issues arising from local resolution differences, properties of electrostatic potential maps, and the chemical environment which must be considered to make accurate assignments. We offer suggestions for how to improve the reliability of such assignments.

scholarly journals Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps

Molecules ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 82 ◽  
Author(s):  
Eman Alnabati ◽  
Daisuke Kihara
Keyword(s):  
Electron Microscopy ◽  
De Novo ◽  
Molecular Structures ◽  
Structure Modeling ◽  
Rapid Progress ◽  
Macromolecular Complexes ◽  
Modeling Methods ◽  
Cryo Electron Microscopy ◽  
Density Maps

Cryo-electron microscopy (cryo-EM) has now become a widely used technique for structure determination of macromolecular complexes. For modeling molecular structures from density maps of different resolutions, many algorithms have been developed. These algorithms can be categorized into rigid fitting, flexible fitting, and de novo modeling methods. It is also observed that machine learning (ML) techniques have been increasingly applied following the rapid progress of the ML field. Here, we review these different categories of macromolecule structure modeling methods and discuss their advances over time.

scholarly journals PRISM-EM: template interface-based modelling of multi-protein complexes guided by cryo-electron microscopy density maps. Corrigendum

2018 ◽  
Vol 74 (1) ◽  
pp. 65-66
Author(s):  
Guray Kuzu ◽  
Ozlem Keskin ◽  
Ruth Nussinov ◽  
Attila Gursoy
Keyword(s):  
Electron Microscopy ◽  
Protein Complexes ◽  
Acta Cryst ◽  
Cryo Electron Microscopy ◽  
Density Maps

A revised Table 6 and Supporting Information are provided for the article by Kuzuet al.[(2016),Acta Cryst.D72, 1137–1148].

scholarly journals PRISM-EM: template interface-based modelling of multi-protein complexes guided by cryo-electron microscopy density maps

2016 ◽  
Vol 72 (10) ◽  
pp. 1137-1148 ◽  
Author(s):  
Guray Kuzu ◽  
Ozlem Keskin ◽  
Ruth Nussinov ◽  
Attila Gursoy
Keyword(s):  
Electron Microscopy ◽  
Protein Complexes ◽  
Three Dimensional ◽  
Protein Assemblies ◽  
New Approach ◽  
Cellular Processes ◽  
Cryo Electron Microscopy ◽  
Density Maps ◽  
Crystallographic Structures ◽  
Hiv 1

The structures of protein assemblies are important for elucidating cellular processes at the molecular level. Three-dimensional electron microscopy (3DEM) is a powerful method to identify the structures of assemblies, especially those that are challenging to study by crystallography. Here, a new approach, PRISM-EM, is reported to computationally generate plausible structural models using a procedure that combines crystallographic structures and density maps obtained from 3DEM. The predictions are validated against seven available structurally different crystallographic complexes. The models display mean deviations in the backbone of <5 Å. PRISM-EM was further tested on different benchmark sets; the accuracy was evaluated with respect to the structure of the complex, and the correlation with EM density maps and interface predictions were evaluated and compared with those obtained using other methods. PRISM-EM was then used to predict the structure of the ternary complex of the HIV-1 envelope glycoprotein trimer, the ligand CD4 and the neutralizing protein m36.

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