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Front Physiol. 2017 Mar 14;8:103. doi: 10.3389/fphys.2017.00103. eCollection 2017.

The 1-Particle-per-k-Nucleotides (1PkN) Elastic Network Model of DNA Dynamics with Sequence-Dependent Geometry.

Frontiers in physiology

Takeru Kameda, Shuhei Isami, Yuichi Togashi, Hiraku Nishimori, Naoaki Sakamoto, Akinori Awazu

Affiliations

  1. Department of Mathematical and Life Sciences, Hiroshima University Hiroshima, Japan.
  2. Research Center for the Mathematics on Chromatin Live Dynamics, Hiroshima University Hiroshima, Japan.
  3. Department of Mathematical and Life Sciences, Hiroshima UniversityHiroshima, Japan; Research Center for the Mathematics on Chromatin Live Dynamics, Hiroshima UniversityHiroshima, Japan.

PMID: 28382002 PMCID: PMC5361685 DOI: 10.3389/fphys.2017.00103

Abstract

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

Keywords: coarse-grained; double-stranded DNA; elastic network model; mitochondrial DNA; normal-mode analysis; sequence-dependent geometry

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