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2017 ; 8
(ä): 103
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The 1-Particle-per-k-Nucleotides (1PkN) Elastic Network Model of DNA Dynamics
with Sequence-Dependent Geometry
#MMPMID28382002
Kameda T
; Isami S
; Togashi Y
; Nishimori H
; Sakamoto N
; Awazu A
Front Physiol
2017[]; 8
(ä): 103
PMID28382002
show ga
Coarse-grained models of DNA have made important contributions to the
determination of the physical properties of genomic DNA, working as a molecular
machine for gene regulation. In this study, to analyze the global dynamics of
long DNA sequences with consideration of sequence-dependent geometry, we propose
elastic network models of DNA where each particle represents k nucleotides
(1-particle-per-k-nucleotides, 1PkN). The models were adjusted according to
profiles of the anisotropic fluctuations obtained from our previous
1-particle-per-1-nucleotide (1P1N) model, which was proven to reproduce such
profiles of all-atom models. We confirmed that the 1P3N and 1P4N models are
suitable for the analysis of detailed dynamics such as local twisting motion. The
models are intended for the analysis of large structures, e.g., 10-nm fibers in
the nucleus, and nucleoids of mitochondrial or phage DNA at low computational
costs. As an example, we surveyed the physical characteristics of the whole
mitochondrial human and Plasmodium falciparum genomes.