2018
DOI: 10.1016/j.bpj.2017.12.021
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Unraveling the Motions behind Enterovirus 71 Uncoating

Abstract: Enterovirus 71 can be a severe pathogen in small children and immunocompromised adults. Virus uncoating is a critical step in the infection of the host cell; however, the mechanisms that control this process remain poorly understood. We applied normal mode analysis and perturbation response scanning to several complexes of the virus capsid and present a coarse-graining approach to analyze the full capsid. We show that our method offers an alternative to expressing the system as a set of rigid blocks and accoun… Show more

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Cited by 18 publications
(33 citation statements)
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References 61 publications
(110 reference statements)
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“…The MODE-TASK algorithm was validated in a previous study of the Enterovirus 71 (EV71) capsid ( Ross et al , 2018 ). The EV71 capsid is icosahedral with T = 3 symmetry.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…The MODE-TASK algorithm was validated in a previous study of the Enterovirus 71 (EV71) capsid ( Ross et al , 2018 ). The EV71 capsid is icosahedral with T = 3 symmetry.…”
Section: Methodsmentioning
confidence: 99%
“…The RTB approach only captured a single dominant mode (radial expansion) for the CCMV capsid. It was suggested that the two additional modes captured by the MODE-TASK algorithm represent the local motions within a pentameric unit ( Ross et al , 2018 ).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…ENM are a type of coarse-grained NMA, which can substantially reduce the computational demands to efficiently explore protein dynamics around a single energy minimum by simplifying interatomic interactions as spring-connected nodes (protein C β and/or C α atoms) [227,280,281,[281][282][283][284]. Several studies involving this approach have verified its success in identifying functionally relevant protein conformations [175,[285][286][287][288][289][290][291][292]. Further, coarse-grained NMA [293][294][295] and ENM integrated with the information-based Markovian theory of signal propagation [296][297][298][299][300][301][302][303] have provided a generalized formalism of allosteric communication pathways in proteins.…”
Section: Coarse-grained Simulations and Stochastic Markov State Modelsmentioning
confidence: 99%
“…The application of ED to analyze protein behaviour mainly focuses on the dominant modes of motion, which are obtained by decomposing the covariance matrix and by ranking the eigenvectors (principal components) in descending order of the corresponding eigenvalues [292,332]. By plotting the first two or three principal components against each other, we obtain a general idea of the distribution for all generated conformations obtained from a conformational sampling experiment, as exemplified from ED analyzes for various proteins [333][334][335][336].…”
Section: Essential Dynamics and Free-energy Landscapementioning
confidence: 99%