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The statistical mechanics of free and protein-bound DNA by Monte Carlo simulation.

机译:游离和蛋白质结合的DNA的统计力学通过蒙特卡洛模拟。

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摘要

There are many challenges involved in the simulation of DNA. In this work, novel Monte Carlo techniques are developed and applied to understanding the biophysical properties of DNA. A coarse-grained model is applied to feasibly simulate long DNA chains of hundreds to thousands of base pairs, using a reduced base-pair step representation of the DNA. Using this model, a canonical Monte Carlo simulation of DNA is developed to characterize the structure and flexibility of double-helical DNA. By applying a unique algorithm for generating uncorrelated DNA conformations a priori, limitations of the original Metropolis Monte Carlo algorithm are avoided.Furthermore, there is developing experimental evidence that non-specifically associating proteins that induce DNA bending modulate the in-vivo flexibility of DNA. To investigate the effect of these proteins, a grand canonical Monte Carlo simulation technique is developed, extending the model of free DNA to incorporate non-specific protein-DNA interactions. In this technique, DNA chains are simulated with varying numbers of bound proteins. Ubiquitous DNA architectural proteins such as the prokaroytic nucleoid protein HU and the eukaryotic HMG-box proteins are investigated with this technique. By incorporating structural information from the protein-DNA complexes currently available in the Nucleic Acid Database, models of these DNA-binding proteins are constructed and used in this method.The results predict an enhancement of DNA flexibility due to non-specific binding of these proteins, and calculations of the cyclization (ring-closure) properties and force-extension responses of protein-bound DNA chains compared to free DNA chains are presented. In addition, the effects of these proteins on the topological properties of closed circular DNA and on the looping properties of DNA constrained by binding to the Lac repressor protein assembly are characterized in large-scale parallel simulations. Coordination of protein binding on circular and looped DNA and induction of negative supercoiling of DNA by DNA architectural proteins is predicted, with important biological implications for chromosome organization and transcription regulation.
机译:DNA模拟涉及许多挑战。在这项工作中,开发了新颖的蒙特卡洛技术并将其应用于理解DNA的生物物理特性。应用粗粒度模型,使用减少的DNA碱基对阶跃表示法,可行地模拟数百至数千个碱基对的长DNA链。使用该模型,对DNA进行了标准的蒙特卡洛模拟,以表征双螺旋DNA的结构和灵活性。通过事先应用独特的算法来生成不相关的DNA构象,避免了原始Metropolis蒙特卡洛算法的局限性。此外,越来越多的实验证据表明,诱导DNA弯曲的非特异性结合蛋白可调节DNA的体内柔性。为了研究这些蛋白质的作用,开发了一种经典的蒙特卡洛模拟技术,扩展了游离DNA的模型以纳入非特异性蛋白质-DNA相互作用。在这种技术中,DNA链是用不同数量的结合蛋白模拟的。用这种技术研究了无处不在的DNA建筑蛋白,例如原核生物类核仁蛋白HU和真核HMG-box蛋白。通过结合核酸数据库中当前可用的蛋白质-DNA复合物的结构信息,构建了这些DNA结合蛋白的模型并在该方法中使用。结果预测由于这些蛋白的非特异性结合,DNA的柔性得以增强。 ,并给出了与游离DNA链相比的蛋白质结合DNA链的环化(闭环)性质和力-延伸响应的计算。此外,在大规模并行模拟中,表征了这些蛋白质对闭合环状DNA拓扑特性的影响,以及对与Lac阻遏蛋白结合具有约束力的DNA环状特性的影响。可以预测蛋白质与环状和环状DNA结合的协调性,以及DNA建筑蛋白诱导DNA负超螺旋的产生,这对染色体的组织和转录调控具有重要的生物学意义。

著录项

  • 作者

    Czapla, Luke.;

  • 作者单位

    Rutgers The State University of New Jersey - New Brunswick.;

  • 授予单位 Rutgers The State University of New Jersey - New Brunswick.;
  • 学科 Chemistry Biochemistry.Biophysics General.Chemistry Physical.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 142 p.
  • 总页数 142
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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