ASYMMETRIC PERIODIC BOUNDARY CONDITIONS FOR MOLECULAR DYNAMICS AND COARSE-GRAINED SIMULATIONS OF NUCLEIC ACIDS

Main Article Content

SRINIVAS SHYAMALA

Abstract

Periodic boundary conditions are commonly applied in molecular dynamics simulations in the microcanonical (NVE), canonical (NVT) and isothermal-isobaric (NpT) ensembles. In their simplest application, a biological system of interest is placed in the middle of a solvation box, which is chosen ‘sufficiently large’ to minimize any numerical artefacts associated with the periodic boundary conditions. This practical approach brings limitations to the size of biological systems that can be simulated. Here, we study simulations of effectively infinitelylong nucleic acids, which are solvated in the directions perpendicular to the polymer chain, while periodic boundary conditions are also applied along the polymer chain. We study the effects of these asymmetric periodic boundary conditions (APBC) on the simulated results, including the mechanical properties of biopolymers and the properties of the surrounding solvent. To get some further insights into the advantages of using the APBC, a coarse-grained worm-like chain model is first studied, illustrating how the persistence length can be extracted from local properties of the polymer chain, which are less affected by the APBC than some global averages. This is followed by all-atom molecular dynamics simulations of DNA in ionic solutions, where we use the APBC to investigate sequence-dependent properties of DNA molecules and properties of the surrounding solvent.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

How to Cite
SHYAMALA, S. . (2019). ASYMMETRIC PERIODIC BOUNDARY CONDITIONS FOR MOLECULAR DYNAMICS AND COARSE-GRAINED SIMULATIONS OF NUCLEIC ACIDS. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 10(3), 1609–1619. https://doi.org/10.61841/turcomat.v10i3.14578
Section
Articles

References

(1) Vologodskii, A. Biophysics of DNA;

(2) Jacobson, D.; Saleh, O. Counting the

ions surrounding nucleic acids. Nucleic

Acids Research 2016, 45, 1596–1605.

(3) Mocci, F.; Laaksonen, A. Insight into

nucleic acid counterion interactions from

inside molecular dynamics simulations is

“worth its salt”. Soft Matter 2012, 8,

–9284.

(4) Várnai, P.; Zakrzewska, K. DNA and

its counterions: a molecular dynamics

study. Nucleic Acids Research 2004, 32,

–4280. (5) Zavadlav, J.; Podgornik,

R.; Praprotnik, M. Adaptive resolution

simulation of a DNA molecule in salt

solution. Journal of Chemical Theory and

Computation 2015, 11, 5035–5044. (6)

Zavadlav, J.; Sablic, J.; Podgornik, R.;

Praprotnik, M. Open-Boundary Molecular

Dynamics of a DNA Molecule in a Hybrid

Explicit/Implicit Salt Solution.

Biophysical Journal 2018, 114, 2352–

(7) Dans, P.; Walther, J.; Gómez, H.;

Orozco, M. Multiscale simulation of DNA. Current Opinion in Structural Biology

, 37, 29–45.

(8) Korolev, N.; Nordenskiöld, L.;

Lyubartsev, A. Multiscale coarse-grained

modelling of chromatin components: DNA

and the nucleosome. Advances in Colloid

and Interface Science 2016, 232, 36–48.

(9) Poppleton, R.; Matthies, M.; Mandal,

D.; Romano, F.; Šulc, P.; Rovigatti, L.

oxDNA: coarse-grained simulations of

nucleic acids made simple. The Journal of

Open Source Software 2023, 8, 4693.

(10) Sengar, A.; Ouldridge, T.; Henrich,

O.; Rovigatti, L.; Šulc, P. A Primer on the

oxDNA Model of DNA: When to Use it,

How to Simulate it and How to Interpret

the Results. Frontiers in Molecular

Biosciences 2021, 8 . (11) Kovaleva, N.;

Koroleva, I.; Mazo, M.; Zubova, E. The

“sugar” coarse-grained DNA model.

Journal of Molecular Modelling 2017, 23,

19

(12) Rolls, E.; Togashi, Y.; Erban, R.

Varying the resolution of the Rouse model

on temporal and spatial scales: application

to multiscale modelling of DNA dynamics.

Multiscale Modeling and Simulation 2017,

, 1672–1693.

(13) Maffeo, C.; Aksimentiev, A. MrDNA:

a multi-resolution model for predicting the

structure and dynamics of DNA systems.

Nucleic Acids Research 2020, 48, 5135–

(14) Minhas, V.; Sun, T.; Mirzoev,

A.; Korolev, N.; Lyubartsev, A.;

Nordenskiöld, L. Modeling DNA

Flexibility: Comparison of Force Fields

from Atomistic to Multiscale Levels.

Journal of Physical Chemistry 2020, 124,

–49.

(15) Lee, S.; Rasaiah, J. Molecular

dynamics simulation of ion mobility. 2.

alkali metal and halide ions using the

SPC/E model for water at 25◦ C. Journal of

Physical Chemistry 1996, 100, 1420–1425.