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使用刚体模拟退火对聚丙氨酸模型进行有意义的优化:应用于A31P Rop突变体的结构测定。

Meaningful refinement of polyalanine models using rigid-body simulated annealing: application to the structure determination of the A31P Rop mutant.

作者信息

Glykos N M, Kokkinidis M

机构信息

Foundation for Research and Technology-Hellas, Institute of Molecular Biology and Biotechnology, PO BOX 1527, 71110 Heraklion, Crete, Greece.

出版信息

Acta Crystallogr D Biol Crystallogr. 1999 Jul;55(Pt 7):1301-8. doi: 10.1107/s0907444999004989.

Abstract

Conventional refinement methods, when applied to even correctly positioned polyalanine models of a target structure, result in a systematic distortion of the molecular geometry and to a concomitant increase in the mean phase difference from the correct phase set. Here, it is shown that iterative rigid-body simulated-annealing refinement of polyalanine models employing successively fewer residues per rigid body (down to one alanine residue per body) at a very high initial temperature (of the order of T0 = 10000 K) and with the geometric energy terms switched on, not only preserves the geometry of the model but can also converge to an essentially correct polyalanine trace of the target structure, even when the starting model deviates systematically and significantly from the sought structure. As an example of the application of the method, details are presented of the structure determination of the Ala31Pro mutant of the Rop protein, where an initial roughly positioned polyalanine model (giving an average phase difference of 78.2 degrees from the final phase set) was successfully refined against a 1.8 A resolution native data set, leading to an essentially correct model of the main chain with an average displacement of its atomic positions from the final model of 0.275 A. The phases calculated from this refined polyalanine model had an average difference of 43.8 degrees from the final phase set (corresponding to a mean figure of merit of 0.72) and gave a readily interpretable electron-density map.

摘要

传统的优化方法,即使应用于目标结构定位正确的聚丙氨酸模型,也会导致分子几何结构的系统性扭曲,并伴随与正确相位集的平均相位差增加。本文表明,对聚丙氨酸模型进行迭代刚体模拟退火优化,在非常高的初始温度(约为T0 = 10000 K)下,每个刚体逐次减少使用的残基数(低至每个刚体一个丙氨酸残基)并开启几何能量项,不仅能保留模型的几何结构,而且即使起始模型与目标结构存在系统性且显著的偏差,也能收敛到目标结构基本正确的聚丙氨酸轨迹。作为该方法应用的一个例子,给出了Rop蛋白Ala31Pro突变体结构测定的详细情况,其中一个初始大致定位的聚丙氨酸模型(与最终相位集的平均相位差为78.2度)成功地根据1.8 Å分辨率的天然数据集进行了优化,得到了一个主链基本正确的模型,其原子位置与最终模型的平均位移为0.275 Å。从这个优化后的聚丙氨酸模型计算出的相位与最终相位集的平均差值为43.8度(对应平均品质因数为0.72),并给出了易于解释的电子密度图。

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