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首页> 外文学位 >Revealing the conformation and properties of human genome, protein molecules and protein domain co-occurrence network.
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Revealing the conformation and properties of human genome, protein molecules and protein domain co-occurrence network.

机译：揭示人类基因组，蛋白质分子和蛋白质结构域共现网络的构象和特性。

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摘要

Deoxyribonucleic acid, or DNA, encodes genetic instructions for the functionalities of organisms. For human beings, 23 pairs of chromosomes, containing DNA strands, form a globule structure in the nucleus. This chromosomal conformation influences the subsequent biological processes including transcription and translation by positioning sequentially remote genes spatially close. Chapter 2 reveals human chromosomal conformation and studies gene-gene interactions and "transcription factor binding site" interactions based on chromosomal spatial proximity.;During the transcription process, an mRNA chain is produced from decoding DNA, followed by translation when protein molecules are synthesized. Proteins are the biological units that conduct biological functions. The three-dimensional structure of a protein molecule determines its particular functions. Predicting protein three- dimensional structures and functions from amino acid sequence has drawn substantial attention because it is an essential step for thoroughly understanding biological processes. Chapters 3 and 4 discuss research in predicting protein tertiary structures. Algorithms that can predict residue-specific qualities of predicted structures were constructed and benchmarked. A knowledge database of soybean transcription factors is presented in Chapter 5, which contains predicted protein tertiary structures. Chapter 6 shows a computer system predicting protein functions using profile-sequence alignment, profile-profile alignment, and protein domain co-occurrence network.;A biological process is usually performed by multiple proteins. Biological network provides a global perspective of studying lives, which usually considers the entire set of the same type of biological molecules of the target organism. Chapter 7 introduces a novel biological network, protein Domain Co-occurrence Network (DCN), and demonstrates that DCN has great potentials in inferring species phylogenies and predicting protein functions.
机译：脱氧核糖核酸或DNA编码了有关生物功能的遗传指令。对于人类来说，包含DNA链的23对染色体在细胞核中形成球状结构。该染色体构象通过在空间上顺序定位相距较远的基因来影响随后的生物学过程，包括转录和翻译。第2章揭示了人类染色体的构象，并研究了基于染色体空间邻近性的基因-基因相互作用和“转录因子结合位点”相互作用。在转录过程中，解码DNA产生了一条mRNA链，随后在合成蛋白质分子时进行翻译。蛋白质是具有生物学功能的生物单位。蛋白质分子的三维结构决定了其特定功能。从氨基酸序列预测蛋白质三维结构和功能已经引起了广泛的关注，因为它是彻底理解生物学过程的重要步骤。第三章和第四章讨论了预测蛋白质三级结构的研究。可以预测可预测结构的残基特定质量的算法已构建并进行了基准测试。第5章介绍了大豆转录因子的知识库，其中包含预测的蛋白质三级结构。第6章介绍了一个计算机系统，该系统使用谱-序列比对，谱-谱-比对和蛋白质结构域共生网络预测蛋白质功能。生物过程通常由多种蛋白质执行。生物网络提供了研究生命的全球视角，通常会考虑目标生物的同一类型生物分子的整个集合。第7章介绍了一种新颖的生物网络，即蛋白质域共生网络（DCN），并证明了DCN在推断物种系统发育和预测蛋白质功能方面具有巨大潜力。

著录项

  • 作者

    Wang, Zheng.;

  • 作者单位

    University of Missouri - Columbia.;

  • 授予单位 University of Missouri - Columbia.;
  • 学科 Biology Bioinformatics.;Computer Science.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 239 p.
  • 总页数 239
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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