RNA model

From OxDNA
Revision as of 16:40, 10 March 2014 by Sulc (talk | contribs)

The RNA model, oxRNA, treats each RNA nucleotide as a single rigid body with multiple interaction sites, following the coarse-graining apporach adopted for the DNA model. The nucleotides interact with pairwise interaction potentials, which are listed below:

  1. Backbone connectivity ,
  2. Excluded volume ,
  3. Hydrogen bonding ,
  4. Nearest-neighbour stacking ,
  5. Cross-stacking between base-pair steps in a duplex ,
  6. Coaxial stacking .

which are schematically illustrated in the picture:

Image duplex combined annotated.png

Simulation units

The code uses dimensionless energy, mass, length and timescales for convenience. The relationship between simulation units (SU) and SI units is given below.

Simulation unit Physical unit
1 unit of length 8.518x10 m
1 unit of energy 4.142x10 J
1 unit of temperature 3000 K
1 unit of force 4.863x10 N
1 unit of mass 5.34x10 kg
1 unit of time 3.06x10 s

Running simulation with the oxRNA model

The oxRNA model is integrated into the oxDNA simulation code. In particular, it is possible to use Virtual Move Monte Carlo (VMMC), Monte Carlo (MC) and Molecular Dynamics (MD) simulation algorithms using the same format of input file as for the DNA model, with the following additional line included in the input file to specify RNA model:

interaction_type = RNA

The RNA model comes with two parametrizations, the average-base and sequence-dependent one. In the average-base parametrization, the interaction strengths are the same for all Watson-Crick and wobble base pairs (AU, GC, GU) and 0 for all other types of base pairs. The interaction strengths have the same strength for all possible pairs of nucleotides interacting with stacking interaction . In the sequence-dependent version of the model, the interaction strengths of and depend on the type of interacting bases.

The average-base parametrization is used by default. In order to use the sequence-dependent version of the model, the following options need to be added into the input file:

use_average_seq = 0
seq_dep_file = rna_sequence_dependent_parameters.txt

Note that the file rna_sequence_dependent_parameters.txt needs to be located in the directory where you run the simulation, or full location of the file needs to be specified in seq_dep_file option.

Furthermore, the configuration files need to be generated so that the nucleotides are positioned so that they satisfy RNA potentials (for instance in the case of duplex, they need to be initialized in an A-helical structure). For this purpose, a script generate-RNA.py is provided in UTILS/ subdirectory of the source code main directory. For instance, if one wants to generate an initial configuration of three strands, two of them complementary (with sequence 3'-GCAAGUCG-5' and its complementary) and in a duplex configuration, and one single strand with sequence 3'-ACCCGU-5', one needs to create the following file text file, called for example sekvences.txt:

./generate-RNA.py <files_with_sequence> prefix [box = 20]

./generate-RNA.py <files_with_sequence> prefix [box = 20]

The model and its performance is discussed in detail in the following reference:

P. Šulc, F. Romano, T. E. Ouldridge, J. P. K. Doye, A. A. Louis: A nucleotide-level coarse-grained model of RNA, submitted