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Application of core trace algorithm for determination of protein backbone.

机译:核心跟踪算法在确定蛋白质骨架中的应用。

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摘要

Protein crystallography is one of the most important methods for determining protein structure. However, building the protein structure from the crystallographic data is often a long and difficult process. The critical point analysis is an automatic system to completely interpret the protein electron density map. The analysis represents the crystallographic data as a critical point graph. This graph contains paths which trace the backbone and side chain of the proteins.; The most important part in the critical point analysis is the determination of the critical points in the map. It depends on the creation of a continuous electron density function which specifies the electron density for any point in the map. However, evaluating such a function is difficult because many parameters are needed. This thesis determines the critical points in the map by using the core trace algorithm. It also develops a system to identify the protein backbone from the critical points. The system was tested on both experimental and ideal electron density map. In most of the proteins, more than 80% of the residues in the protein backbone were correctly identified.
机译:蛋白质晶体学是确定蛋白质结构的最重要方法之一。但是,根据晶体学数据建立蛋白质结构通常是一个漫长而困难的过程。临界点分析是一个自动系统,可以完全解释蛋白质电子密度图。该分析将晶体学数据表示为临界点图。该图包含追踪蛋白质主链和侧链的路径。临界点分析中最重要的部分是确定地图中的临界点。这取决于连续电子密度函数的创建,该函数指定图中任何点的电子密度。但是,由于需要许多参数,因此很难评估这种功能。本文利用核心跟踪算法确定了地图中的关键点。它还开发了一个从关键点识别蛋白质骨架的系统。在实验和理想电子密度图上都对该系统进行了测试。在大多数蛋白质中,正确识别出蛋白质骨架中80%以上的残基。

著录项

  • 作者

    Wan, Yong.;

  • 作者单位

    Queen's University (Canada).;

  • 授予单位 Queen's University (Canada).;
  • 学科 Biology Molecular.; Computer Science.
  • 学位 M.Sc.
  • 年度 2003
  • 页码 81 p.
  • 总页数 81
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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