Premium
Stacking interactions in RNA and DNA: Roll‐slide energy hyperspace for ten unique dinucleotide steps
Author(s) -
Mukherjee Sanchita,
Kailasam Senthilkumar,
Bansal Manju,
Bhattacharyya Dhananjay
Publication year - 2015
Publication title -
biopolymers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 125
eISSN - 1097-0282
pISSN - 0006-3525
DOI - 10.1002/bip.22566
Subject(s) - stacking , chemistry , dna , crystallography , thymine , stereochemistry , nucleobase , rna , biochemistry , gene , organic chemistry
Understanding dinucleotide sequence directed structures of nuleic acids and their variability from experimental observation remained ineffective due to unavailability of statistically meaningful data. We have attempted to understand this from energy scan along twist, roll, and slide degrees of freedom which are mostly dependent on dinucleotide sequence using ab initio density functional theory. We have carried out stacking energy analysis in these dinucleotide parameter phase space for all ten unique dinucleotide steps in DNA and RNA using DFT‐D by ωB97X‐D/6‐31G(2d,2p), which appears to satisfactorily explain conformational preferences for AU/AU step in our recent study. We show that values of roll, slide, and twist of most of the dinucleotide sequences in crystal structures fall in the low energy region. The minimum energy regions with large twist values are associated with the roll and slide values of B‐DNA, whereas, smaller twist values correspond to higher stability to RNA and A‐DNA like conformations. Incorporation of solvent effect by CPCM method could explain the preference shown by some sequences to occur in B‐DNA or A‐DNA conformations. Conformational preference of BII sub‐state in B‐DNA is preferentially displayed mainly by pyrimidine–purine steps and partly by purine–purine steps. The purine–pyrimidine steps show largest effect of 5‐methyl group of thymine in stacking energy and the introduction of solvent reduces this effect significantly. These predicted structures and variabilities can explain the effect of sequence on DNA and RNA functionality. © 2014 Wiley Periodicals, Inc. Biopolymers 103: 134–147, 2015.