We have studied, by conformational analysis, the sequence dependence of DNA conformational transition between B-and A-forms. We have considered intramolecular interactions between base pairs, without backbone, to examine their role in the conformational transition between Band A-forms, and found tha
Applying the stochastic difference equation to DNA conformational transitions: A study of B–Z and B–A DNA transitions
✍ Scribed by Wilber Lim; Yuan Ping Feng
- Publisher
- Wiley (John Wiley & Sons)
- Year
- 2005
- Tongue
- English
- Weight
- 892 KB
- Volume
- 78
- Category
- Article
- ISSN
- 0006-3525
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✦ Synopsis
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. Biopolymers 78: 107–120, 2005
This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at [email protected]
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