2016
DOI: 10.1021/jacs.6b03729
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Dynamic Coupling among Protein Binding, Sliding, and DNA Bending Revealed by Molecular Dynamics

Abstract: Protein binding to DNA changes the DNA's structure, and altered DNA structure can, in turn, modulate the dynamics of protein binding. This mutual dependency is poorly understood. Here we investigated dynamic couplings among protein binding to DNA, protein sliding on DNA, and DNA bending by applying a coarse-grained simulation method to the bacterial architectural protein HU and 14 other DNA-binding proteins. First, we verified our method by showing that the simulated HU exhibits a weak preference for A/T-rich … Show more

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Cited by 73 publications
(89 citation statements)
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“…96 The present data should allow a similar approach to be used to derive potential functions for amino acid interactions with the bases, sugar and phosphate groups of DNA in both the single- and double-stranded states. CG simulation models have already been used in a number of very interesting studies of protein-DNA interactions; see, for example, the works of the Levy 97, 98 and Takada 99 groups, with at least one involving modeling of DNA in its single-stranded state. 100 The use of potential functions derived from atomistic simulations that have been shown to reproduce relative affinities of amino acids for dsDNA and ssDNA, could enable such simulations to achieve even higher levels of realism, especially in modeling processes such as DNA replication, in which both single- and double-stranded forms of DNA play important roles.…”
Section: Discussionmentioning
confidence: 99%
“…96 The present data should allow a similar approach to be used to derive potential functions for amino acid interactions with the bases, sugar and phosphate groups of DNA in both the single- and double-stranded states. CG simulation models have already been used in a number of very interesting studies of protein-DNA interactions; see, for example, the works of the Levy 97, 98 and Takada 99 groups, with at least one involving modeling of DNA in its single-stranded state. 100 The use of potential functions derived from atomistic simulations that have been shown to reproduce relative affinities of amino acids for dsDNA and ssDNA, could enable such simulations to achieve even higher levels of realism, especially in modeling processes such as DNA replication, in which both single- and double-stranded forms of DNA play important roles.…”
Section: Discussionmentioning
confidence: 99%
“…As we know, membrane physico-chemical properties have a significant impact in dynamic behavior of DNA nanostructures and their assemblies. 2629 This means that DNA nanostructures on these synthetic model membranes would be remarkably different from their dynamic behavior on the natural membrane. 30 Thus, it is necessary to study the dynamic behavior of DNA nanostructures on cell-mimicking giant vesicles model which would further advance our understanding on behavior of DNA nanostructures on biological interfaces.…”
mentioning
confidence: 99%
“…Histone octamer, remodeler and DNA interact via excluded volume, long-range electrostatics and hydrogenbonds. For excluded volume, we employ bead-type dependent radii derived from a database of protein-protein and protein-DNA complexes (Brandani et al, 2018;Niina et al, 2017;Tan, Terakawa, & Takada, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…Histone octamer, remodeler and DNA interact via excluded volume, long-range electrostatics and hydrogenbonds. For excluded volume, we employ bead-type dependent radii derived from a database of protein-protein and protein-DNA complexes 32,38,63 . Following our previous protocol 32,38 , electrostatics is modeled according to Debye-Hückel theory, with standard unit charges placed on DNA phosphate groups and protein residues in flexible regions, and fractional charges on protein residue in folded regions derived using the RESPAC method, which optimizes the coarse-grained electrostatic potential against the all-atom one in the folded conformation 64 .…”
Section: Methodsmentioning
confidence: 99%