Laplace Approximation of J-factors for rigid base and rigid base pair models of DNA cyclization.

IF 3.2 3区 生物学 Q2 BIOPHYSICS
Robert S Manning
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引用次数: 0

Abstract

We apply the Laplace approximation to a mathematical formulation of DNA cyclization J-factors, leading to a formula that involves energies of local minima of the DNA energy, factors coming from the Hessian of the energy near each minimum, and geometric factors arising from the orientational portion of J. The approximation is derived in a quite general setting that encompasses both rigid base and rigid base pair models common in the literature. The approximation is applied to several families of 200-400 bp DNA, some relatively straight (fragments of λ-phage) and others quite bent (constructs that include up to ten A-tracts). The accuracy of the approximation is assessed by comparing to (more time-consuming) Monte Carlo computations: Laplace is within 20% of Monte Carlo for most 200 bp molecules and undershoots Monte Carlo by about 30% for 300 bp and 50% for 400 bp. We explore length and sequence dependence, both for our overall approximation of J and for its energy and entropic components, and make comparisons to a different approximation of J proposed by Zhang and Crothers.
刚性碱基和刚性碱基对 DNA 环化模型 J 因子的拉普拉斯近似值。
我们将拉普拉斯近似应用于 DNA 环化 J 因子的数学表述,从而得出一个涉及 DNA 能量局部极小值的公式、来自每个极小值附近能量的黑森因子以及来自 J 的取向部分的几何因子。该近似方法适用于多个 200-400 bp DNA 家族,其中一些相对平直(λ-phage 片段),另一些则相当弯曲(包含多达 10 个 A 片段的结构)。通过与(更耗时的)蒙特卡洛计算进行比较,评估了近似的准确性:对于大多数 200 bp 的分子,拉普拉斯的计算结果在蒙特卡罗计算结果的 20% 以内;对于 300 bp 的分子,拉普拉斯的计算结果低于蒙特卡罗计算结果约 30%;对于 400 bp 的分子,拉普拉斯的计算结果低于蒙特卡罗计算结果 50%。我们探讨了 J 的总体近似值及其能量和熵分量对长度和序列的依赖性,并与 Zhang 和 Crothers 提出的不同 J 近似值进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biophysical journal
Biophysical journal 生物-生物物理
CiteScore
6.10
自引率
5.90%
发文量
3090
审稿时长
2 months
期刊介绍: BJ publishes original articles, letters, and perspectives on important problems in modern biophysics. The papers should be written so as to be of interest to a broad community of biophysicists. BJ welcomes experimental studies that employ quantitative physical approaches for the study of biological systems, including or spanning scales from molecule to whole organism. Experimental studies of a purely descriptive or phenomenological nature, with no theoretical or mechanistic underpinning, are not appropriate for publication in BJ. Theoretical studies should offer new insights into the understanding ofexperimental results or suggest new experimentally testable hypotheses. Articles reporting significant methodological or technological advances, which have potential to open new areas of biophysical investigation, are also suitable for publication in BJ. Papers describing improvements in accuracy or speed of existing methods or extra detail within methods described previously are not suitable for BJ.
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