Molecular dynamics of protein complexes from four-dimensional cryo-electron microscopy

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


eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Abhishek Singharoy ◽  
Ivan Teo ◽  
Ryan McGreevy ◽  
John E Stone ◽  
Jianhua Zhao ◽  
...  

Two structure determination methods, based on the molecular dynamics flexible fitting (MDFF) paradigm, are presented that resolve sub-5 Å cryo-electron microscopy (EM) maps with either single structures or ensembles of such structures. The methods, denoted cascade MDFF and resolution exchange MDFF, sequentially re-refine a search model against a series of maps of progressively higher resolutions, which ends with the original experimental resolution. Application of sequential re-refinement enables MDFF to achieve a radius of convergence of ~25 Å demonstrated with the accurate modeling of β-galactosidase and TRPV1 proteins at 3.2 Å and 3.4 Å resolution, respectively. The MDFF refinements uniquely offer map-model validation and B-factor determination criteria based on the inherent dynamics of the macromolecules studied, captured by means of local root mean square fluctuations. The MDFF tools described are available to researchers through an easy-to-use and cost-effective cloud computing resource on Amazon Web Services.


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.


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].


2016 ◽  
Author(s):  
Abhishek Singharoy ◽  
Ivan Teo ◽  
Ryan McGreevy ◽  
John E Stone ◽  
Jianhua Zhao ◽  
...  

2021 ◽  
Author(s):  
Anda Trifan ◽  
Defne Gorgun ◽  
Zongyi Li ◽  
Alexander Brace ◽  
Maxim Zvyagin ◽  
...  

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) replication transcription complex (RTC) is a multi-domain protein responsible for replicating and transcribing the viral mRNA inside a human cell. Attacking RTC function with pharmaceutical compounds is a pathway to treating COVID-19. Conventional tools, e.g., cryo-electron microscopy and all-atom molecular dynamics (AAMD), do not provide sufficiently high resolution or timescale to capture important dynamics of this molecular machine. Consequently, we develop an innovative workflow that bridges the gap between these resolutions, using mesoscale fluctuating finite element analysis (FFEA) continuum simulations and a hierarchy of AI-methods that continually learn and infer features for maintaining consistency between AAMD and FFEA simulations. We leverage a multi-site distributed workflow manager to orchestrate AI, FFEA, and AAMD jobs, providing optimal resource utilization across HPC centers. Our study provides unprecedented access to study the SARS-CoV-2 RTC machinery, while providing general capability for AI-enabled multi-resolution simulations at scale.


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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