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首页> 外文期刊>Journal of Computational Chemistry: Organic, Inorganic, Physical, Biological >GRADIENT SHAKE - AN IMPROVED METHOD FOR CONSTRAINED ENERGY MINIMIZATION IN MACROMOLECULAR SIMULATIONS
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GRADIENT SHAKE - AN IMPROVED METHOD FOR CONSTRAINED ENERGY MINIMIZATION IN MACROMOLECULAR SIMULATIONS

机译:梯度抖动 - 大分子模拟中约束能量最小化的改进方法

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摘要

Current macromolecular energy minimization algorithms become inefficient and prone to failure when bond length constraints are imposed. They are required to relieve steric stresses in biomolecules prior to a molecular dynamics simulation. Unfortunately, the latter often require constraints, leading to difficulties in initiating trajectories from unconstrained energy minima. This difficulty was overcome by requiring that the components of the energy gradient vanish along the constrained bonds. The modified energy minimization algorithm converges to a lower energy in a fewer number of iterations and is more robust than current implementations. The method has been successfully applied to the Dickerson DNA dodecamer, CGCGAATTCGCG. (C) 1995 by John Wiley & Sons, Inc. [References: 13]
机译:当施加粘合长度约束时,电流大分子能量最小化算法变得效率低,并且在粘合长度约束时易于发生故障。 在分子动力学模拟之前,它们需要缓解生物分子中的空间应力。 不幸的是,后者往往需要约束,导致困难启动来自无约束能量最小值的轨迹。 通过要求能量梯度沿着受限制的键消失的组件来克服这种困难。 修改的能量最小化算法在较少数量的迭代中收敛到较低的能量,并且比当前实现更鲁棒。 该方法已成功应用于Dickerson DNA Dodecamer,CGCGAATTCGCG。 (c)1995由John Wiley&Sons,Inc。[参考文献:13]

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