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Using Computer Modeling to Study Prion Diseases.

机译:使用计算机建模研究Pri病毒疾病。

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摘要

Amyloid diseases, such as Parkinson's, Huntington's and Transmissible spongiform encephalopathy(Prion), have captured considerable public attention recently; all involve the aggregation of proteins in "misfolded" forms. The prion phenomenon, as one kind of amyloid diseases, has gained scientific interest for its non-nuclei acid based, self-replication process: the disease-causing prion protein(PrPSc, also called the scrapie prion protein) can engender reproduction by inducing the normal prion protein( PrPC) to misfold its structure into the scrapie form; the PrPSc itself acts as a template for the PrPC during the reproduction process, and specific nucleic acid sequences are not involved during the reproduction. These properties were also discovered in several non-Mendelian heritable elements in the yeast Saccharomyces cerevisiae[1], thus the term "prion" was spread to certain yeasts and fungi. Rather, the characteristic disease strain information is hypothesized to be stored in the misfolded protein conformation.;Elucidating the process of conversion from PrPC to PrPSc is essential in understanding and finding methods to cure the prion diseases. However, this is very challenging due to the lack of high-resolution experimental data of the PrPSc structure, because of its insoluble and noncrystalline character. Accordingly, computer simulation of theoretical models for the protein structures presents a path forward for understanding and guiding experiment. We examine here with all atom molecular dynamics the unfolding of a proposed left-handed beta helix model for conversion of PrPC to PrP Sc[2].;In this thesis the prion protein aggregation is studied primarily in two regions: The first one is finding a common transition state between the alpha helical structure(AH) at the C-terminus of human PrP C and the metastable left-handed beta helical(LHBH) structure which can possibly template human PrPSc by performing the unfolding simulations to both structures. With molecular dynamics at high temperature 498K, two-dimensional projection of C alpha RMSD plots, cluster analysis, conformational analysis and alignments, the convergence to a common conformation intermediate between the AH and LHBH was observed, which indicates a direct pathway between the two structures without the need to pass through a fully unfolded structure. This result gives us new insights to the conversion between PrP C and PrPSc.;The second one is to search for prion regions in proteins of the Saccharomyces cerevisiae yeasts, using software developed by a collaborator which can propose potential matches of sequence to LHBH structure[3]. This method is based upon a heuristic variant of the dynamic programming (HDP) algorithm used in protein sequence alignment. We scanned 19 proteins proposed to have possible prion behavior in yeast, and used GPU based, explicit solvent, all atom molecular dynamics to assess their stability. Of the 19 starting proteins 9 were identified as being strong candidates for LHBH structure.;Our computational studies using theoretical model on the prion protein aggregation, not only present a microscopic picture of the structural change of the prion proteins, but also may provide insights to the formation of the prion diseases and relevant drug design. These methods are also applicable in choosing good candidates of aggregation prone sequences in proteins before conducting real experiments, thus possibly saving budgets and time in the lab.
机译:淀粉样疾病,例如帕金森氏病,亨廷顿氏病和可传播性海绵状脑病(Prion),最近引起了公众的广泛关注。所有这些都涉及“错误折叠”形式的蛋白质聚集。 ion病毒现象作为一种淀粉样疾病,因其基于非核酸的自我复制过程而引起了科学兴趣:引起疾病的病毒蛋白(PrPSc,也称为瘙痒病病毒蛋白)可以通过诱导淀粉样蛋白的繁殖而繁殖。正常的ion病毒蛋白(PrPC)将其结构错误折叠成瘙痒病形式; PrPSc本身在复制过程中充当PrPC的模板,并且在复制过程中不涉及特定的核酸序列。在酿酒酵母[1]中的几种非孟德尔遗传因子中也发现了这些特性,因此“ pr病毒”一词被传播到某些酵母和真菌中。而是假设特征性疾病毒株信息以错误折叠的蛋白质构象存储。阐明从PrPC到PrPSc的转化过程对于理解和发现治愈病毒疾病的方法至关重要。然而,由于缺乏PrPSc结构的高分辨率实验数据,这是非常具有挑战性的,因为其不溶性和非晶性。因此,蛋白质结构理论模型的计算机模拟为理解和指导实验提出了一条途径。我们在这里用所有原子分子动力学研究了拟议的左手β螺旋模型的展开,该模型用于将PrPC转化为PrP Sc [2]。本论文主要研究two病毒蛋白的聚集在两个区域:第一个是发现在人类PrP C的C末端的α螺旋结构(AH)和亚稳态左旋β螺旋(LHBH)结构之间的常见过渡状态,可以通过对这两种结构进行展开模拟来模板化人类PrPSc。通过在498K高温下的分子动力学,C alpha RMSD图的二维投影,聚类分析,构象分析和比对,观察到了AH和LHBH之间常见构象中间体的收敛,这表明这两种结构之间存在直接途径无需通过完全展开的结构。这一结果使我们对PrP C和PrPSc之间的转化有了新的认识。第二个是使用合作者开发的软件搜索酿酒酵母酵母蛋白质中的病毒区域,该软件可以提出与LHBH结构潜在的序列匹配[ 3]。此方法基于蛋白质序列比对中使用的动态编程(HDP)算法的启发式变体。我们扫描了19种被提议在酵母中可能具有pr病毒行为的蛋白质,并使用基于GPU的显式溶剂,所有原子分子动力学来评估其稳定性。在19种起始蛋白中,有9种被确定为LHBH结构的强候选者;;我们使用理论模型对on病毒蛋白聚集进行了计算研究,不仅提供了the病毒蛋白结构变化的微观图片,而且还可以为ion病毒疾病的形成及相关药物设计。这些方法也适用于在进行实际实验之前在蛋白质中选择易于聚集的候选序列,从而可能节省实验室预算和时间。

著录项

  • 作者

    Dai, Shan.;

  • 作者单位

    University of California, Davis.;

  • 授予单位 University of California, Davis.;
  • 学科 Biology Neuroscience.;Biophysics Medical.;Biophysics General.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 133 p.
  • 总页数 133
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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