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蛋白质的分子建模:一种在AMBER力场中通过分子力学实现能量最小化的策略。

Molecular modeling of proteins: a strategy for energy minimization by molecular mechanics in the AMBER force field.

作者信息

Kini R M, Evans H J

机构信息

Department of Biochemistry and Molecular Biophysics, Medical College of Virginia, Virginia Commonwealth University, Richmond 23298-0614.

出版信息

J Biomol Struct Dyn. 1991 Dec;9(3):475-88. doi: 10.1080/07391102.1991.10507930.

DOI:10.1080/07391102.1991.10507930
PMID:1687724
Abstract

Energy minimization is an important step in molecular modeling of proteins. In this study, we sought to develop a minimization strategy which would give the best final structures with the shortest computer time in the AMBER force field. In the all-atom model, we performed energy minimization of the melittin (mostly alpha-helical) and cardiotoxin (mostly beta-sheet and beta-turns) crystal structures by both constrained and unconstrained pathways. In the constrained path, which has been recommended in the energy minimization of proteins, hydrogens were relaxed first, followed by the side chains of amino acid residues, and finally the whole molecule. Despite the logic of this approach, however, the structures minimized by the unconstrained path fit the experimental structures better than those minimized by constrained paths. Moreover, the unconstrained path saved considerable computer time. We also compared the effects of the steepest descents and conjugate gradients algorithms in energy minimization. Previously, steepest descents has been used in the initial stages of minimization and conjugate gradients in the final stages of minimization. We therefore studied the effect on the final structure of performing an initial minimization by steepest descents. The structures minimized by conjugate gradients alone resembled the structures minimized initially by the steepest descents and subsequently by the conjugate gradients algorithms. Thus an initial minimization using steepest descents is wasteful and unnecessary, especially when starting from the crystal structure. Based on these results, we propose the use of an unconstrained path and conjugate gradients for energy minimization of proteins. This procedure results in low energy structures closer to the experimental structures, and saves about 70-80% of computer time. This procedure was applied in building models of lysozyme mutants. The crystal structure of native T4 lysozyme was mutated to three different mutants and the structures were minimized. The minimized structures closely fit the crystal structures of the respective mutants (less than 0.3 A root-mean-square, RMS, deviation in the position of all heavy atoms). These results confirm the efficiency of the proposed minimization strategy in modeling closely related homologs. To determine the reliability of the united atom approximation, we also performed all of the above minimizations with united atom models. This approximation gave structures with similar but slightly higher RMS deviations than the all-atom model, but gave further savings of 60-70% in computer time. However, we feel further investigation is essential to determine the reliability of this approximation.(ABSTRACT TRUNCATED AT 400 WORDS)

摘要

能量最小化是蛋白质分子建模中的重要一步。在本研究中,我们试图开发一种最小化策略,该策略能在AMBER力场中以最短的计算机时间给出最佳的最终结构。在全原子模型中,我们通过约束和无约束路径对蜂毒肽(主要为α螺旋)和心脏毒素(主要为β折叠和β转角)的晶体结构进行了能量最小化。在蛋白质能量最小化中推荐的约束路径中,首先使氢原子松弛,接着是氨基酸残基的侧链,最后是整个分子。然而,尽管这种方法有其逻辑,但通过无约束路径最小化得到的结构比通过约束路径最小化得到的结构更符合实验结构。此外,无约束路径节省了大量的计算机时间。我们还比较了最速下降法和共轭梯度法在能量最小化中的效果。以前,最速下降法用于最小化的初始阶段,共轭梯度法用于最小化的最后阶段。因此,我们研究了最速下降法进行初始最小化对最终结构的影响。仅通过共轭梯度法最小化得到的结构类似于最初通过最速下降法然后通过共轭梯度法算法最小化得到的结构。因此,使用最速下降法进行初始最小化是浪费且不必要的,特别是从晶体结构开始时。基于这些结果,我们建议在蛋白质能量最小化中使用无约束路径和共轭梯度法。该方法能得到能量较低且更接近实验结构的结构,并节省约70 - 80%的计算机时间。该方法应用于构建溶菌酶突变体的模型。天然T4溶菌酶的晶体结构被突变为三种不同的突变体,并对其结构进行了最小化。最小化后的结构与各自突变体的晶体结构紧密匹配(所有重原子位置的均方根偏差,RMS,小于0.3 Å)。这些结果证实了所提出的最小化策略在对密切相关的同源物进行建模时的有效性。为了确定联合原子近似的可靠性,我们还用联合原子模型进行了上述所有最小化。这种近似得到的结构与全原子模型相似,但RMS偏差略高,但在计算机时间上进一步节省了60 - 70%。然而,我们认为进一步研究对于确定这种近似的可靠性至关重要。(摘要截断于400字)

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