Please use this identifier to cite or link to this item: https://doi.org/10.1002/bip.20267
Title: Applying the stochastic difference equation to DNA conformational transitions: A study of B-Z and B-A DNA transitions
Authors: Lim, W.
Feng, Y.P. 
Keywords: B-A transition
B-Z transition
Molecular dynamics
Stochastic difference equation
Stretched intermediate model
Issue Date: 15-Jun-2005
Citation: Lim, W., Feng, Y.P. (2005-06-15). Applying the stochastic difference equation to DNA conformational transitions: A study of B-Z and B-A DNA transitions. Biopolymers 78 (3) : 107-120. ScholarBank@NUS Repository. https://doi.org/10.1002/bip.20267
Abstract: Despite the existence of numerous models to account for the B-Z DNA transition, experimenters have not yet arrived at a conclusive answer to the structural and dynamical features of the B-Z transition. By applying the stochastic difference equation to simulate the B-Z DNA transition, we have shown that the stretched intermediate model of the B-Z transition is more probable than other B-Z transition models such as the Harvey model. This is accomplished by comparing potential energy profiles of various B-Z DNA transition models and calculating relative probabilities based on the stochastic difference equation with respect to length (SDEL) formalism. The results garnered in this article allow for new approaches in determining the structural transition of B-DNA to Z-DNA experimentally. We have also simulated the B-A DNA transition using the stochastic difference equation. Unlike the B-Z DNA transition, the mechanism for the B-A DNA transition is well established. The variation in the pseudorotation angle during the transition is in good agreement with experimental results. Qualitative features of the simulated B-A transition also agree well with experimental data. The SDEL approach is thus a suitable numerical technique to compute long-time molecular dynamics trajectory for DNA molecules. © 2005 Wiley Periodicals, Inc.
Source Title: Biopolymers
URI: http://scholarbank.nus.edu.sg/handle/10635/95813
ISSN: 00063525
DOI: 10.1002/bip.20267
Appears in Collections:Staff Publications

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