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Sequence-Dependent Effects in the Cyclization of ShortDNA

机译:ShortDNA环化中的序列依赖性效应

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A new,computationally efficient Monte Carlo approach has been developed to estimate the ring-closure properties of short,realistically modeled DNA chains.The double helix is treated at the level of base-pair steps using an elastic potential that accounts for the sequence-dependent variability in the intrinsic structure and elastic moduli of the base-pair steps,including the known coupling of conformational variables.Rather than using traditional Metropolis-Monte Carlo techniques to generate representative configurations,a Gaussian sampling method is introduced to construct three-dimensional structures from linear combinations of the rigid-body parameters defining the relative orientation and displacement of successive base pairs.The computation of the J factor,the well-known ratio of the equilibrium constants for cyclization vs bimolecular association of a linear molecule,takes into account restrictions on the displacement and directions of the base pairs joined in ring closure,including the probability that the end-to-end vector is null and the terminal base pairs coincide.The increased sample sizes needed to assess the likelihood that very short chains satisfy these criteria are attained using the Alexandrowicz half-chain sampling enhancement technique in combination with selective linkage of the two-half-chain segments.The method is used to investigate the cyclization properties of arbitrary-length DNA with greatly enhanced sampling sizes,i.e.,0(10~(14))configurations,and to estimate J factors lower than 0.1 pM with high accuracy.The methodology has been checked against classic theoretical predictions of the cyclization properties of an ideal,inextensible,naturally straight,DNA elastic rod and then applied to investigate the extent to which one can account for the unexpectedly large J factors of short DNA chains without the need to invoke significant distortions of double helical structure.Several well-known structural features of DNA- including the presence of intrinsic curvature,roll-twist coupling,or enhanced pyrimidine-purine deformability-bring the computed Jfactors in line with the observed data.Moreover,periodically distributed roll-twist coupling reduces the magnitude of oscillations in J,seen in plots of J vs chain length,to the extent found experimentally.
机译:已经开发出一种新的计算有效的蒙特卡洛方法来估计短而逼真的建模DNA链的闭环特性。使用在基对步骤水平使用弹性位势处理双螺旋的方法,该弹性势能说明了序列依赖性碱基对步骤的固有结构和弹性模量的可变性,包括已知的构象变量耦合。不是使用传统的Metropolis-Monte Carlo技术生成代表性构型,而是采用高斯采样方法从中构造三维结构定义连续碱基对的相对取向和位移的刚体参数的线性组合。J因子的计算,环化平衡常数与线性分子的双分子缔合的众所周知的比率,考虑了对闭环连接的碱基对的位移和方向,包括端到端向量为空且末端碱基对重合的概率。使用Alexandrowicz半链采样增强技术结合使用,可以评估非常短的链满足这些标准的可能性,从而需要增加样本量。该方法用于研究具有大大增强的采样大小(即0(10〜(14))构型)的任意长度DNA的环化性质,并估计J因子低于0.1 pM的高精度。该方法已针对理想的,不可拉伸的,自然笔直的DNA弹性棒的环化特性的经典理论预测进行了检验,然后用于研究可解释J因子意外大的因素的程度。短的DNA链,而无需引起双螺旋结构的显着变形。DNA的几个众所周知的结构特征-包括i的存在固有曲率,侧倾扭转耦合或增强的嘧啶-嘌呤可变形性,使计算得到的J因子与观测数据相符。此外,周期性分布的侧倾扭转耦合减小了J的振荡幅度,在J与链长的关系图中可以看出,达到实验发现的程度。

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