Coarse-Grained Modeling of Large Protein Complexes for Understanding Their Conformational Dynamics

2011 ◽  
pp. 61-93
Author(s):  
Gwonchan Yoon ◽  
Jae Kim ◽  
Sungsoo Na
Keyword(s):  
Protein Complexes ◽  
Conformational Dynamics ◽  
Coarse Grained ◽  
Large Protein

scholarly journals Classification of protein–protein association rates based on biophysical informatics

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Kalyani Dhusia ◽  
Yinghao Wu
Keyword(s):  
Large Scale ◽  
Cross Validation ◽  
Protein Complexes ◽  
Dynamic Properties ◽  
Conformational Dynamics ◽  
Classification Model ◽  
Coarse Grained ◽  
Modeling Framework ◽  
Validation Data ◽  
Wide Range

Abstract Background Proteins form various complexes to carry out their versatile functions in cells. The dynamic properties of protein complex formation are mainly characterized by the association rates which measures how fast these complexes can be formed. It was experimentally observed that the association rates span an extremely wide range with over ten orders of magnitudes. Identification of association rates within this spectrum for specific protein complexes is therefore essential for us to understand their functional roles. Results To tackle this problem, we integrate physics-based coarse-grained simulations into a neural-network-based classification model to estimate the range of association rates for protein complexes in a large-scale benchmark set. The cross-validation results show that, when an optimal threshold was selected, we can reach the best performance with specificity, precision, sensitivity and overall accuracy all higher than 70%. The quality of our cross-validation data has also been testified by further statistical analysis. Additionally, given an independent testing set, we can successfully predict the group of association rates for eight protein complexes out of ten. Finally, the analysis of failed cases suggests the future implementation of conformational dynamics into simulation can further improve model. Conclusions In summary, this study demonstrated that a new modeling framework that combines biophysical simulations with bioinformatics approaches is able to identify protein–protein interactions with low association rates from those with higher association rates. This method thereby can serve as a useful addition to a collection of existing experimental approaches that measure biomolecular recognition.

scholarly journals Tafazzins from Drosophila and mammalian cells assemble in large protein complexes with a short half-life

Mitochondrion ◽  
2015 ◽  
Vol 21 ◽  
pp. 27-32 ◽  
Author(s):  
Yang Xu ◽  
Ashim Malhotra ◽  
Steven M. Claypool ◽  
Mindong Ren ◽  
Michael Schlame
Keyword(s):  
Half Life ◽  
Mammalian Cells ◽  
Protein Complexes ◽  
Large Protein ◽  
Short Half Life

scholarly journals Dissecting Molecular Determinants of Mutational Escape Mechanisms in the SARS-CoV-2 Spike Protein Complexes with Nanobodies: Atomistic Simulations and Ensemble-Based Deep Mutational Scanning of Protein Stability and Binding Interactions

2021 ◽  
Author(s):  
Gennady Verkhivker ◽  
Steve Agajanian ◽  
Deniz Yasar Oztas ◽  
Grace Gupta
Keyword(s):  
Molecular Mechanisms ◽  
Protein Complexes ◽  
Conformational Dynamics ◽  
Spike Protein ◽  
Atomistic Simulations ◽  
Binding Interactions ◽  
Mutational Profiling ◽  
Neutralizing Capacity ◽  
The Stability ◽  
Protein Response

Structural and biochemical studies have recently revealed a range of rationally engineered nanobodies with efficient neutralizing capacity against SARS-CoV-2 virus and resilience against mutational escape. In this work, we combined atomistic simulations and conformational dynamics analysis with the ensemble-based mutational profiling of binding interactions for a diverse panel of SARS-CoV-2 spike complexes with nanobodies. Using this computational toolkit, we identified dynamic signatures and binding affinity fingerprints for the SARS-CoV-2 spike protein complexes with nanobodies Nb6 and Nb20, VHH E, a pair combination VHH E+U, a biparatopic nanobody VHH VE, and a combination of CC12.3 antibody and VHH V/W nanobodies. Through ensemble-based deep mutational profiling of stability and binding affinities, we identify critical hotspots and characterize molecular mechanisms of SARS-CoV-2 spike protein binding with single ultra-potent nanobodies, nanobody cocktails and biparatopic nanobodies. By quantifying dynamic and energetic determinants of the SARS-CoV-2 S binding with nanobodies, we also examine the effects of circulating variants and escaping mutations. We found that mutational escape mechanisms may be controlled through structurally and energetically adaptable binding hotspots located in the host receptor-accessible binding epitope that are dynamically coupled to the stability centers in the distant epitope targeted by VHH U/V/W nanobodies. The results of this study suggested a mechanism in which through cooperative dynamic changes, nanobody combinations and biparatopic nanobody can modulate the global protein response and induce the increased resilience to common escape mutants.

scholarly journals The right place at the right time: Aurora B kinase localization to centromeres and kinetochores

2020 ◽  
Vol 64 (2) ◽  
pp. 299-311 ◽  
Author(s):  
Amanda J. Broad ◽  
Jennifer G. DeLuca
Keyword(s):  
Spindle Assembly Checkpoint ◽  
Protein Complexes ◽  
Centromeric Heterochromatin ◽  
Aurora B ◽  
Mitotic Chromosomes ◽  
Large Protein ◽  
Aurora B Kinase ◽  
Centromeric Protein ◽  
Spindle Microtubules ◽  
The Right

Abstract The fidelity of chromosome segregation during mitosis is intimately linked to the function of kinetochores, which are large protein complexes assembled at sites of centromeric heterochromatin on mitotic chromosomes. These key “orchestrators” of mitosis physically connect chromosomes to spindle microtubules and transduce forces through these connections to congress chromosomes and silence the spindle assembly checkpoint. Kinetochore-microtubule attachments are highly regulated to ensure that incorrect attachments are not prematurely stabilized, but instead released and corrected. The kinase activity of the centromeric protein Aurora B is required for kinetochore-microtubule destabilization during mitosis, but how the kinase acts on outer kinetochore substrates to selectively destabilize immature and erroneous attachments remains debated. Here, we review recent literature that sheds light on how Aurora B kinase is recruited to both centromeres and kinetochores and discuss possible mechanisms for how kinase interactions with substrates at distinct regions of mitotic chromosomes are regulated.

scholarly journals Molecular requirements for the formation of a kinetochore–microtubule interface by Dam1 and Ndc80 complexes

2012 ◽  
Vol 200 (1) ◽  
pp. 21-30 ◽  
Author(s):  
Fabienne Lampert ◽  
Christine Mieck ◽  
Gregory M. Alushin ◽  
Eva Nogales ◽  
Stefan Westermann
Keyword(s):  
Chromosome Segregation ◽  
Protein Complexes ◽  
Structural Elements ◽  
Large Protein ◽  
Kinetochore Assembly ◽  
Sister Chromatids ◽  
Dam1 Complex ◽  
Shed Light ◽  
Kinetochore Function

Kinetochores are large protein complexes that link sister chromatids to the spindle and transduce microtubule dynamics into chromosome movement. In budding yeast, the kinetochore–microtubule interface is formed by the plus end–associated Dam1 complex and the kinetochore-resident Ndc80 complex, but how they work in combination and whether a physical association between them is critical for chromosome segregation is poorly understood. Here, we define structural elements required for the Ndc80–Dam1 interaction and probe their function in vivo. A novel ndc80 allele, selectively impaired in Dam1 binding, displayed growth and chromosome segregation defects. Its combination with an N-terminal truncation resulted in lethality, demonstrating essential but partially redundant roles for the Ndc80 N-tail and Ndc80–Dam1 interface. In contrast, mutations in the calponin homology domain of Ndc80 abrogated kinetochore function and were not compensated by the presence of Dam1. Our experiments shed light on how microtubule couplers cooperate and impose important constraints on structural models for outer kinetochore assembly.

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