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

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

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Christopher J. Gisriel ◽  
Jimin Wang ◽  
Gary W. Brudvig ◽  
Donald A. Bryant

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.


2016 ◽  
Vol 72 (10) ◽  
pp. 1137-1148 ◽  
Author(s):  
Guray Kuzu ◽  
Ozlem Keskin ◽  
Ruth Nussinov ◽  
Attila Gursoy

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.


2021 ◽  
Vol 27 (S1) ◽  
pp. 3250-3250
Author(s):  
Viswanath Vittaladevaram ◽  
Kranthi Kuruti

AbstractThe key aspect for development of novel drug molecules is to perform structural determination of target molecule associated with its ligand. One such tool that provides insights towards structure of molecule is Cryo-electron microscopy which covers biological targets that are intractable. Examination of proteins can be carried out in native state, as the samples are frozen at -175 degree Celsius i.e. cryogenic temperatures. In addition to this, there were no limits for molecular and functional structures of proteins that can be imagined in 3-dimensional form. This includes ligands which unravel mechanisms that are biologically relevant. This will enable to better understand the mechanisms that are used for development of new therapeutics. Application of Cryo-electron microscopy is not limited to protein complexes and is considered as non-specific. Intervention of Cryo-EM would allow to analyse the structures and also able to dissect the interaction with therapeutic molecules. The study determines the usage of cryo-EM for providing resolutions that are acceptable for lead discovery. It also provides support for lead optimization and also for discovery of vaccines and therapeutics.


2020 ◽  
Vol 60 (5) ◽  
pp. 2644-2650 ◽  
Author(s):  
Salim Sazzed ◽  
Peter Scheible ◽  
Maytha Alshammari ◽  
Willy Wriggers ◽  
Jing He

Molecules ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 82 ◽  
Author(s):  
Eman Alnabati ◽  
Daisuke Kihara

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.


2004 ◽  
Vol 147 (3) ◽  
pp. 291-301 ◽  
Author(s):  
J.Bernard Heymann ◽  
James F. Conway ◽  
Alasdair C. Steven

2021 ◽  
Vol 9 (1) ◽  
pp. 5-20
Author(s):  
Vittoria Raimondi ◽  
◽  
Alessandro Grinzato ◽  
◽  

<abstract> <p>In the last years, cryogenic-electron microscopy (cryo-EM) underwent the most impressive improvement compared to other techniques used in structural biology, such as X-ray crystallography and NMR. Electron microscopy was invented nearly one century ago but, up to the beginning of the last decades, the 3D maps produced through this technique were poorly detailed, justifying the term “blobbology” to appeal to cryo-EM. Recently, thanks to a new generation of microscopes and detectors, more efficient algorithms, and easier access to computational power, single particles cryo-EM can routinely produce 3D structures at resolutions comparable to those obtained with X-ray crystallography. However, unlike X-ray crystallography, which needs crystallized proteins, cryo-EM exploits purified samples in solution, allowing the study of proteins and protein complexes that are hard or even impossible to crystallize. For these reasons, single-particle cryo-EM is often the first choice of structural biologists today. Nevertheless, before starting a cryo-EM experiment, many drawbacks and limitations must be considered. Moreover, in practice, the process between the purified sample and the final structure could be trickier than initially expected. Based on these observations, this review aims to offer an overview of the principal technical aspects and setups to be considered while planning and performing a cryo-EM experiment.</p> </abstract>


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