Schlick T, Olson W K
Courant Institute of Mathematical Sciences, New York University, NY 10012.
J Mol Biol. 1992 Feb 20;223(4):1089-119. doi: 10.1016/0022-2836(92)90263-j.
A new formulation is presented for investigating supercoiled DNA configurations by deterministic techniques. Thus far, the computational difficulties involved in applying deterministic methods to supercoiled DNA studies have generally limited computer simulations to stochastic approaches. While stochastic methods, such as simulated annealing and Metropolis-Monte Carlo sampling, are successful at generating a large number of configurations and estimating thermodynamic properties of topoisomer ensembles, deterministic methods offer an accurate characterization of the minima and a systematic following of their dynamics. To make this feasible, we model circular duplex DNA compactly by a B-spline ribbon-like model in terms of a small number of control vertices. We associate an elastic deformation energy composed of bending and twisting integrals and represent intrachain contact by a 6-12 Lennard Jones potential. The latter is parameterized to yield an energy minimum at the observed DNA-helix diameter inclusive of a hydration shell. A penalty term to ensure fixed contour length is also included. First and second partial derivatives of the energy function have been derived by using various mathematical simplifications. First derivatives are essential for Newton-type minimization as well as molecular dynamics, and partial second-derivative information can significantly accelerate minimization convergence through preconditioning. Here we apply a new large-scale truncated-Newton algorithm for minimization and a Langevin/implicit-Euler scheme for molecular dynamics. Our truncated-Newton method exploits the separability of potential energy functions into terms of differing complexity. It relies on a preconditioned conjugate gradient method that is efficient for large-scale problems to solve approximately for the search direction at every step. Our dynamics algorithm is numerically stable over large time steps. It also introduces a frequency-discriminating mechanism so that vibrational modes with frequencies greater than a chosen cutoff frequency are essentially frozen by the method. With these tools, we rapidly identify corresponding circular and interwound energy minima for small DNA rings for a series of imposed linking-number differences. These structures are consistent with available electron microscopy data. The energetic exchange of stability between the circle and the figure-8, in very good agreement with analytical results, is also detailed. Molecular dynamics trajectories at 100 femtosecond time steps then reveal the rapid folding of the unstable circular state into supercoiled forms. Significant bending and twisting motions of the interwound structures are also observed. Such information may be useful for understanding transition states along the folding pathway and the role of enzymes that regulate supercoiling.(ABSTRACT TRUNCATED AT 400 WORDS)
本文提出了一种新的公式,用于通过确定性技术研究超螺旋DNA构型。到目前为止,将确定性方法应用于超螺旋DNA研究中所涉及的计算困难,通常限制了计算机模拟只能采用随机方法。虽然随机方法,如模拟退火和Metropolis - 蒙特卡罗采样,在生成大量构型和估计拓扑异构体集合的热力学性质方面很成功,但确定性方法能准确地表征极小值并系统地跟踪其动力学。为了使这一方法可行,我们通过一个B样条带状模型,用少量控制顶点对环状双链DNA进行紧凑建模。我们关联了一个由弯曲和扭转积分组成的弹性变形能,并通过6 - 12 Lennard Jones势来表示链内接触。对后者进行参数化,以便在包含水合层的观测DNA螺旋直径处产生能量最小值。还包括一个确保固定轮廓长度的惩罚项。通过各种数学简化方法,已经推导出了能量函数的一阶和二阶偏导数。一阶导数对于牛顿型最小化以及分子动力学至关重要,而部分二阶导数信息可以通过预处理显著加速最小化收敛。在这里,我们应用一种新的大规模截断牛顿算法进行最小化,并应用朗之万/隐式欧拉方案进行分子动力学模拟。我们的截断牛顿方法利用了势能函数可分离为不同复杂度项的特性。它依赖于一种预处理共轭梯度法,该方法对于大规模问题很有效,能在每一步近似求解搜索方向。我们的动力学算法在大时间步长上数值稳定。它还引入了一种频率区分机制,使得频率大于选定截止频率的振动模式基本上被该方法冻结。借助这些工具,我们针对一系列施加的连环数差异,快速识别出小DNA环对应的环状和缠绕状能量最小值。这些结构与现有的电子显微镜数据一致。还详细阐述了环状和8字形之间稳定性的能量交换,这与分析结果非常吻合。然后,在100飞秒时间步长下的分子动力学轨迹揭示了不稳定环状状态迅速折叠成超螺旋形式。还观察到了缠绕结构的显著弯曲和扭转运动。这些信息可能有助于理解折叠途径中的过渡态以及调节超螺旋的酶的作用。(摘要截断于400字)