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The use of protein sequence analysis to obtain structural, functional and evolutionary gleanings from biological systems.

机译:使用蛋白质序列分析从生物系统获得结构,功能和进化的信息。

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摘要

Protein sequences have long been considered basic purveyors of biological understanding. Unlike previously, the current, concerted sequencing efforts have resulted in an increased availability of sequence data in terms of phyletic range and completeness. This allows the opportunity to understand the evolution of protein sequences and provides means of extracting functional and structural information regarding the protein from their sequence. To this end, I have analyzed protein sequences using local alignment and profile searches, phylogenetic analysis, statistical and structural evaluation of multiple alignments. As a result, I was able extract biologically significant information at a level greater than what has been previously possible. Primary results obtained in this work are: (1) The identification of new protein superfamilies and reconstruction of active sites, catalytic mechanisms and functional features for these proteins. (2) The use of the recently developed profile search method PSI-BLAST to recognize folds of a large number of protein families by establishing statistically significant alignments between a protein of unknown fold and a protein with a determined structure. Subsequently, multiple alignments derived from these searches are used to predict features governing structural and functional properties of these protein families. This includes uncovering of the mechanisms of some basic enzymes, DNA and protein-protein interaction mode of transcription factors and adhesion molecules and a common allosteric regulation of a vast class of enzymes. (3) The dissection of biological functional systems such as the apoptotic machinery and the DNA repair systems. This has led to understanding the basic trends in the evolution of these systems and an improved functional reconstruction based on new findings such as active domains or active sites identified based on sequence analysis. (4) The use of sequence analysis to annotate complete or partial genome sequences and to reconstruct the biology of the organisms from the predicted proteome. One prominent feature of these studies includes the estimation of the level and nature of horizontal transfer in diverse prokaryotic taxa. Another important outcome of this study is the determination of the possible genomic cognates in terms of protein family expansions that accompanied the origin of multicellular animals.
机译:蛋白质序列长期以来一直被认为是生物学理解的基本提供者。与以前不同,当前的一致测序工作已导致系统数据在系统进化范围和完整性方面的增加。这为了解蛋白质序列的进化提供了机会,并提供了从蛋白质序列中提取有关蛋白质的功能和结构信息的方法。为此,我使用局部比对和谱图搜索,系统发育分析,多重比对的统计和结构评估来分析蛋白质序列。结果,我能够以比以前更高的水平提取生物学上重要的信息。这项工作获得的主要结果是:(1)鉴定新的蛋白质超家族,并重建这些蛋白质的活性位点,催化机理和功能特征。 (2)通过建立未知折叠蛋白和具有确定结构的蛋白之间的统计学显着比对,使用最近开发的谱图搜索方法PSI-BLAST识别大量蛋白家族的折叠。随后,从这些搜索中得到的多重比对被用于预测控制这些蛋白质家族的结构和功能特性的特征。这包括发现某些基本酶的机制,DNA和转录因子和粘附分子的蛋白质与蛋白质相互作用模式以及对一大类酶的常见变构调节。 (3)解剖诸如凋亡机制和DNA修复系统等生物功能系统。这导致人们了解了这些系统进化的基本趋势,并根据新发现(如基于序列分析确定的活性域或活性位点)改进了功能重建。 (4)使用序列分析来注释完整或部分的基因组序列,并从预测的蛋白质组重建生物的生物学。这些研究的显着特征之一是对各种原核生物类群中水平转移的水平和性质的估计。这项研究的另一个重要成果是根据伴随多细胞动物起源的蛋白质家族扩展确定可能的基因组同源性。

著录项

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Molecular biology.;Microbiology.;Biochemistry.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 237 p.
  • 总页数 237
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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