Literature DB >> 26588318

A Solvent-Mediated Coarse-Grained Model of DNA Derived with the Systematic Newton Inversion Method.

Aymeric Naômé1,2,3, Aatto Laaksonen2,3,4, Daniel P Vercauteren1.   

Abstract

We present a new class of coarse-grained (CG) force fields (FFs) for B-DNA with explicit ions suited for large-scale mesoscale simulations at microsecond-micrometer scale using a wide spectrum of particle simulation methods from molecular dynamics to dissipative particle dynamics. The effective solvent-mediated pairwise interactions making up the FFs are obtained by inverting radial distribution functions and other particle-particle distributions obtained from all-atom simulations of numbers of octadecamer DNA fragments from the Ascona B-DNA library. The inverse Monte Carlo (IMC) method, later known as Newton inversion (NI) (Lyubartsev, A. P.; Laaksonen, A. Phys. Rev. E, 1995, 52, 3730-3737), was used together with the iterative Boltzmann inversion (IBI) scheme to compute the effective CG potentials. We show that this systematic structure-based approach is capable of providing converged potentials that accurately reproduce the structural features of the underlying atomistic system within a few percents of relative difference. We also show that a simple one-site-per-nucleotide model with 10 intramolecular pair interaction potentials is able to reproduce key features of DNA, for example, the persistence length and its dependence on the ionic concentration, experimentally determined around 50 nm at physiological salt concentration.

Entities:  

Year:  2014        PMID: 26588318     DOI: 10.1021/ct500222s

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  9 in total

1.  The "sugar" coarse-grained DNA model.

Authors:  N A Kovaleva; I P Koroleva Kikot; M A Mazo; E A Zubova
Journal:  J Mol Model       Date:  2017-02-09       Impact factor: 1.810

2.  Structure and conformational dynamics of scaffolded DNA origami nanoparticles.

Authors:  Keyao Pan; William P Bricker; Sakul Ratanalert; Mark Bathe
Journal:  Nucleic Acids Res       Date:  2017-06-20       Impact factor: 16.971

3.  cgDNAweb: a web interface to the cgDNA sequence-dependent coarse-grain model of double-stranded DNA.

Authors:  Lennart De Bruin; John H Maddocks
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

4.  Parametrization of Backbone Flexibility in a Coarse-Grained Force Field for Proteins (COFFDROP) Derived from All-Atom Explicit-Solvent Molecular Dynamics Simulations of All Possible Two-Residue Peptides.

Authors:  Tamara Frembgen-Kesner; Casey T Andrews; Shuxiang Li; Nguyet Anh Ngo; Scott A Shubert; Aakash Jain; Oluwatoni J Olayiwola; Mitch R Weishaar; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2015-04-30       Impact factor: 6.006

Review 5.  Bottom-Up Coarse-Grained Modeling of DNA.

Authors:  Tiedong Sun; Vishal Minhas; Nikolay Korolev; Alexander Mirzoev; Alexander P Lyubartsev; Lars Nordenskiöld
Journal:  Front Mol Biosci       Date:  2021-03-17

6.  Simple Elastic Network Models for Exhaustive Analysis of Long Double-Stranded DNA Dynamics with Sequence Geometry Dependence.

Authors:  Shuhei Isami; Naoaki Sakamoto; Hiraku Nishimori; Akinori Awazu
Journal:  PLoS One       Date:  2015-12-01       Impact factor: 3.240

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

Authors:  Takeru Kameda; Shuhei Isami; Yuichi Togashi; Hiraku Nishimori; Naoaki Sakamoto; Akinori Awazu
Journal:  Front Physiol       Date:  2017-03-14       Impact factor: 4.566

8.  A multiscale analysis of DNA phase separation: from atomistic to mesoscale level.

Authors:  Tiedong Sun; Alexander Mirzoev; Vishal Minhas; Nikolay Korolev; Alexander P Lyubartsev; Lars Nordenskiöld
Journal:  Nucleic Acids Res       Date:  2019-06-20       Impact factor: 16.971

9.  Enriched Conformational Sampling of DNA and Proteins with a Hybrid Hamiltonian Derived from the Protein Data Bank.

Authors:  Emanuel K Peter; Jiri Cerny
Journal:  Int J Mol Sci       Date:  2018-10-30       Impact factor: 5.923

  9 in total

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