Towards More Reliable 13C and 1H Chemical Shift Prediction: A Systematic Comp...
sp2015ren
1. Analyzing Properties of RNA Coarse Grained Structures
Danny Vo, David Bell, and Pengyu Ren*
*University of Texas at Austin
Background
Molecular Dynamics (MD) is a simulation
technique significantly faster than
Crystallographic studies, which uses extremely
complex calculations, often too intensive for
even the strongest supercomputers to perform
in a timely manner
Forces on each atom are calculated, then their
positions are moved using Newton’s laws of
motions
This project focuses on the Coarse Grain model
which represents nucleotides with five atoms (as
opposed to twenty), reducing computational
expenses while optimizing accuracy and speed
Being able to simulate macromolecules will aid
drug development, as properties such as binding
sites can be discovered without the need of wet
samples
Methodology
Python: General purpose, high level
programming language with simple syntax
used for most of our software. Additional
scripts are utilized for ease of user accesses to
Tinker
Tinker: Software used to computationally
calculate various parameters such as Potential
Energy, Force Field Interactions, and Root
Mean Square Distance
PyMOL: Open source imaging system used to
visualize high quality 3D protein structures
and other molecules/macromolecules
Sample Result
Energy Analysis via Tinker (Analyze.x):
• Total Potential Energy : 2397.46083275 Kcal/mole
• Total Electric Charge : -11.00000 Electrons
• Effective Total Charge : -1.25357 Electrons
1ZIH RNA Structure 1ZIH Minimized RNA Structure
Energy Analysis via Tinker (Analyze.x):
• Total Potential Energy : 7349.12832442 Kcal/mole
• Total Electric Charge : -11.00000 Electrons
• Effective Total Charge : -1.25357 Electrons
RMSD Calculated between both structures via Tinker
(Superpose.x):
• Root Mean Square Distance : 2.291733 Angstroms
Program Flow Example (Analyze)1ZIH and 1ZIH Min combined
Conclusions
Coarse grained model allows
quicker computations without
sacrificing accuracy
Creating scripts to aid the
user in accessing Tinker makes
the process less cumbersome
Using MD with the Coarse
Grained model is much more
efficient than Crystallographic
studies when theorizing, but
Crystallographic is still the
gold standard
References
Z. Xia, D. P. Gardner, R. R. Gutell, and P.
Ren, “Coarse-Grained Model for
Simulation of RNA Three-Dimensional
Structures,” The Journal of Physical
Chemistry B, vol. 114, no. 42, pp. 13497–
13506, Oct. 2010.
J. D. Durrant and J. A. McCammon,
“Molecular dynamics simulations and drug
discovery,” BMC biology, vol. 9, no. 1, p.
71, 2011.
“RCSB Protein Data Bank - RCSB PDB.”
[Online]. Available:
http://www.rcsb.org/pdb/home/home.do
. [Accessed: 25-Nov-2015].