系统粗粒化双链 DNA 的序列相关结构和弹性

Enrico Skoruppa, Helmut Schiessel
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摘要

粗粒度模型在研究长度超过几百个碱基对的 DNA 行为中发挥了重要作用。传统上,这些模型依赖于无结构特征和不依赖序列的方法,如扭曲的蠕虫链。然而,过去十年的研究表明,即使在千碱基对尺度上,DNA 序列也会产生重大影响。已经出现了几种依赖于序列的稳健模型,可以捕捉到碱基对级的复杂性。在这里,我们介绍了一种分析框架,用于将此类模型粗粒化到 2 到 40 碱基对尺度,同时保留基本的结构和动力学特征。这些忠实的粗粒度参数化可以实现大分子的高效采样。我们没有提供完全参数化的模型,而是介绍了将任何碱基对步骤模型映射到所需粗粒度水平所需的方法和软件。最后,我们提供了我们的方法的应用实例,包括在模仿自由轨道镊子的设置中对 DNA 的持续长度和有效扭转刚度的估计,以及对本征螺旋 DNA 的模拟。
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Systematic Coarse-Graining of Sequence-Dependent Structure and Elasticity of Double-Stranded DNA
Coarse-grained models have played an important role in the study of the behavior of DNA at length scales beyond a few hundred base pairs. Traditionally, these models have relied on structurally featureless and sequence-independent approaches, such as the twistable worm-like chain. However, research over the past decade has illuminated the substantial impact of DNA sequence even at the kilo-base pair scale. Several robust sequence-dependent models have emerged, capturing intricacies at the base pair-step level. Here we introduce an analytical framework for coarse-graining such models to the 2 to 40-base pair scale while preserving essential structural and dynamical features. These faithful coarse-grained parametrizations enable efficient sampling of large molecules. Rather than providing a fully parametrized model, we present the methodology and software necessary for mapping any base pair-step model to the desired level of coarse-graining. Finally, we provide application examples of our method, including estimates of the persistence length and effective torsional stiffness of DNA in a setup mimicking a freely orbiting tweezer, as well as simulations of intrinsically helical DNA.
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