Simulated Annealing Method for the Automated Simulation of DNA Dynamics in the HhaI Protein Binding Site

IF 0.4 4区 化学 Q4 CHEMISTRY, PHYSICAL
Kari Pederson, Michael Groves, Gary P. Drobny
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引用次数: 0

Abstract

Solid-state deuterium NMR is well suited to the study of the conformational dynamics of DNA. Deuterium quadrupole echo spectra for a particular motional model can be calculated and matched to the experimental spectrum to extract information on the DNA dynamics; however, doing so can be very time-intensive. The two-axis motion used to model the dynamics of either 2″ or 5′/5″ furanose ring deuteron is particularly complex with up to ten independent variables that can be optimized. Here, we present a program which automates both the input script generation and searches the parameter space for the best fit using a simulated annealing algorithm. The parameter, χ red 2 , provides a relative measure of goodness of fit. This method reduces the overall time to determine the best fit of a line shape to a few days, in most cases, when running on a low-power desktop PC. The automated fitting program presented here can be easily modified to generate input scripts for new models, incorporate a weighting factor to the χ red 2 calculation to emphasize key line shape features, or fit nonsymmetrized data. This adaptable program will make simulation of solid-state deuterium spectra accessible to a broader audience.
HhaI蛋白结合位点DNA动力学自动模拟的模拟退火方法
固体氘核磁共振非常适合于DNA构象动力学的研究。计算特定运动模型的氘四极回波谱,并与实验谱相匹配,提取DNA动力学信息;然而,这样做可能非常耗时。用于模拟2″或5 ' /5″呋喃糖环氘核动力学的两轴运动特别复杂,有多达十个可以优化的独立变量。在这里,我们提出了一个程序,它可以自动生成输入脚本,并使用模拟退火算法搜索参数空间以获得最佳拟合。参数χ red 2提供了拟合优度的相对度量。在大多数情况下,当在低功耗台式PC上运行时,这种方法将确定最佳线条形状的总体时间缩短到几天。这里介绍的自动拟合程序可以很容易地修改,以生成新模型的输入脚本,将加权因子纳入χ red 2计算以强调关键的线条形状特征,或拟合非对称数据。这个适应性强的程序将使更广泛的受众可以模拟固态氘谱。
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
12
审稿时长
>12 weeks
期刊介绍: Concepts in Magnetic Resonance Part A brings together clinicians, chemists, and physicists involved in the application of magnetic resonance techniques. The journal welcomes contributions predominantly from the fields of magnetic resonance imaging (MRI), nuclear magnetic resonance (NMR), and electron paramagnetic resonance (EPR), but also encourages submissions relating to less common magnetic resonance imaging and analytical methods. Contributors come from academic, governmental, and clinical communities, to disseminate the latest important experimental results from medical, non-medical, and analytical magnetic resonance methods, as well as related computational and theoretical advances. Subject areas include (but are by no means limited to): -Fundamental advances in the understanding of magnetic resonance -Experimental results from magnetic resonance imaging (including MRI and its specialized applications) -Experimental results from magnetic resonance spectroscopy (including NMR, EPR, and their specialized applications) -Computational and theoretical support and prediction for experimental results -Focused reviews providing commentary and discussion on recent results and developments in topical areas of investigation -Reviews of magnetic resonance approaches with a tutorial or educational approach
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