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Normal mode analysis calculation for a full-atom model with a smaller number of degrees of freedom for huge protein molecules

机译:大分子蛋白质自由度较小的全原子模型的正态模式分析计算

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摘要

The number of degrees of freedom (DOF), , in normal mode analysis (NMA) calculations of proteins is a crucial problem in huge systems because the eigenvalue problem of an -by- matrix must be solved. If it were possible to perform the analysis with a smaller number of DOF for the same system with minimal deterioration in accuracy, this would make a significant impact on the computational study of protein dynamics. We examined two models in which the number of DOF was reduced. Both of them adopted a full-atom model with dihedral angles as independent variables. In one model, side-chain dihedral angles, χ’s, and a main-chain dihedral angle, ω, were fixed and only the main-chain dihedral angles, ϕ and ψ, were variable. In another model, the dihedral angles around virtual bonds that connect neighboring Cα atoms were tested. The number of DOFs for the two models was two and one per residue, respectively. The residue-by-residue fluctuation profiles for atoms and dihedral angles were well reproduced in both models. The motion of atoms in the individual lowest-frequency normal modes of the two models was also very similar to those of the original model in which all rotatable dihedral angles were variable. Consequently, these models could predict large-amplitude concerted motion. These results also imply that proteins in a full-atom model can undergo only limited large-scale conformational changes around the native conformation, and consequently, NMA results do not strongly depend on the independent variables adopted.
机译:在正常模式分析(NMA)中,蛋白质的自由度(DOF)数是大型系统中的关键问题,因为必须解决矩阵矩阵的特征值问题。如果可以对同一系统使用较少数量的DOF进行分析,而精度降低最小,则这将对蛋白质动力学的计算研究产生重大影响。我们研究了两种减少了自由度的模型。他们俩都采用了以二面角为自变量的全原子模型。在一个模型中,侧链二面角χ和主链二面角ω是固定的,只有主链二面角ϕ和ψ可变。在另一个模型中,测试了连接相邻Cα原子的虚拟键周围的二面角。两种模型的自由度数分别为每个残基两个和一个。在两个模型中都很好地再现了原子和二面角的残基波动分布图。两个模型在各个最低频率法向模式中的原子运动也与原始模型的原子运动非常相似,在原始模型中,所有可旋转的二面角都是可变的。因此,这些模型可以预测大幅度的协调运动。这些结果还暗示,全原子模型中的蛋白质只能在天然构象周围经历有限的大规模构象变化,因此,NMA结果并不强烈取决于所采用的自变量。

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