2021
DOI: 10.1016/j.csbj.2021.06.004
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Protein conformational switch discerned via network centrality properties

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Cited by 30 publications
(28 citation statements)
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“…A multitude of advanced MD simulation software packages and algorithms have been developed for different applications. Classical large-scale unbiased MD simulations can sample a wide range of protein dynamic conformation ensembles at the atomic scale to discover intermediate states. , Accelerated MD simulations facilitate conformational changes in protein complexes with slow time scale dynamics by introducing a non-negative boost potential. , Collectively, simulation-based approaches can detect the reversed allosteric effect of allosteric proteins at both spatial and temporal scales.…”
Section: Methodologies For Reversed Allosteric Communication Investig...mentioning
confidence: 99%
“…A multitude of advanced MD simulation software packages and algorithms have been developed for different applications. Classical large-scale unbiased MD simulations can sample a wide range of protein dynamic conformation ensembles at the atomic scale to discover intermediate states. , Accelerated MD simulations facilitate conformational changes in protein complexes with slow time scale dynamics by introducing a non-negative boost potential. , Collectively, simulation-based approaches can detect the reversed allosteric effect of allosteric proteins at both spatial and temporal scales.…”
Section: Methodologies For Reversed Allosteric Communication Investig...mentioning
confidence: 99%
“…The whole simulated trajectories were selected for community network analysis. The two Cα atoms within a cut-off distance of 4.5 Å that has an occupation time >75% of simulation time were classified into the same community ( Sethi et al, 2009 ; Liang et al, 2020 ; Li et al, 2021a ; Foutch et al, 2021 ; Tian et al, 2021 ). Each community was represented by coloured circles whose size is related to the number of residues it includes.…”
Section: Resultsmentioning
confidence: 99%
“…The edges between node and node were further weighed by the corresponding coefficients as follows: to indicate the relative distance between nodes during information transfer in the connection network. The obtained weighed dynamical network was used as a basis for further ‘community’ [112] and ‘optimal path’ analysis [113] , [114] , [115] , [116] . To obtain the community substructure, the Girvan-Newman divisive algorithm was applied, in which ‘edge betweenness’ that defines the number of shortest pathways across a given edge serves as an important partition criterion.…”
Section: Methodsmentioning
confidence: 99%