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Replica Exchange and Multicanonical Algorithms with the coarse-grained UNRES force field

机译:具有粗粒度UNRES力场的副本交换和多规范算法

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摘要

Three algorithms, namely a Replica Exchange method (REM), a Replica Exchange Multicanonical method (REMUCA), and Replica Exchange Multicanonical with Replica Exchange (REMUCAREM), were implemented with the coarse-grained united-residue force field (UNRES) in both Monte Carlo and Molecular Dynamics versions. The MD algorithms use the constant-temperature Berendsen thermostat, with the velocity Verlet algorithm and variable time step. The algorithms were applied to one peptide (20 residues of Alanine with free ends; ala20) and two small proteins, namely an α-helical protein of 46 residues (the B-domain of the staphylococal protein A; 1BDD), and an α+β-protein of 48 residues (the E. Coli Mltd Lysm Domain; 1E0G). Calculated thermodynamic averages, such as canonical average energy and heat capacity, are in good agreement among all simulations for poly-L-alanine, showing that the algorithms were implemented correctly, and that all three algorithms are equally effective for small systems. For protein A, all algorithms performed reasonably well, although some variability in the calculated results was observed whereas, for a more complicated α+β-protein (1E0G), only Replica Exchange was capable of producing reliable statistics for calculating thermodynamic quantities. Finally, from the Replica Exchange molecular dynamics results, we calculated free energy maps as functions of RMSD and radius of gyration for different temperatures. The free energy calculations show correct folding behavior for poly-L-alanine and protein A while, for 1E0G, the native structure had the lowest free energy only at very low temperatures. Hence, the entropy contribution for 1E0G is larger than that for protein A at the same temperature. A larger contribution from entropy means that there are more accessible conformations at a given temperature, making it more difficult to obtain an efficient coverage of conformational space to obtain reliable thermodynamic properties. At the same temperature, ala20 has the smallest entropy contribution, followed by protein A, and then by 1E0G.
机译:在蒙特卡罗和蒙特州均采用了粗粒联合残基力场(UNRES)来实现三种算法,即副本交换方法(REM),副本交换多规范方法(REMUCA)和带有副本交换的副本交换多规范方法(REMUCAREM)。 Carlo和Molecular Dynamics版本。 MD算法使用恒温Berendsen温控器,速度Verlet算法和可变时间步长。该算法应用于一种肽(带有自由端的20个残基的丙氨酸残基; ala20)和两个小蛋白,即46个残基的α-螺旋蛋白(葡萄球菌蛋白A的B结构域; 1BDD)和α+ 48个残基的β蛋白(E. Coli Mltd Lysm域; 1E0G)。计算得出的热力学平均值,例如规范平均能量和热容量,在所有对聚L-丙氨酸的模拟中都很好地吻合,这表明算法是正确实现的,并且所有三种算法对于小型系统都同样有效。对于蛋白质A,尽管观察到了计算结果的某些可变性,但所有算法均表现良好,而对于更复杂的α+β-蛋白质(1E0G),只有副本交换能够生成可靠的统计数据来计算热力学量。最后,根据副本交换分子动力学结果,我们计算了不同温度下作为RMSD和回转半径的函数的自由能图。自由能计算显示了聚-L-丙氨酸和蛋白A的正确折叠行为,而对于1E0G,仅在非常低的温度下,天然结构的自由能最低。因此,在相同温度下,1E0G的熵贡献大于蛋白质A的熵贡献。熵的更大贡献意味着在给定温度下存在更多可及的构象,这使得更难获得构象空间的有效覆盖范围以获得可靠的热力学性质。在相同温度下,ala20的熵贡献最小,其次是蛋白A,然后是1E0G。

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