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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
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Conservation of Protein Domains Over Different Proteins02:26

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
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Genetics of Speciation02:16

Genetics of Speciation

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Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
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The Evidence for Evolution02:55

The Evidence for Evolution

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Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
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Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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工程蛋白质使用统计模型的同进化序列信息信息.

Jerry C Dinan1,2,3, James W McCormick1,2,3, Kimberly A Reynolds4,2,3

  • 1The Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.

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概括
此摘要是机器生成的。

蛋白序列的统计模型揭示了进化约束. 直接合分析和统计合分析识别了残留网络,有助于蛋白质功能预测和设计.

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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 进化生物学 进化生物学

背景情况:

  • 蛋白质序列的多样性反映了功能上的多种进化解决方案.
  • 统计模型可以从大型对齐中捕获蛋白质序列模式.
  • 氨基酸位置之间的共变性表明由约束驱动的共同进化.

研究的目的:

  • 审查和讨论基于共同进化的蛋白质序列建模方法.
  • 为了比较类似于直接合分析 (DCA) 的波茨模型和统计合分析 (SCA).
  • 突出这些模型对于理解蛋白质结构和功能的有用性.

主要方法:

  • 在大型多重序列对齐中对氨基酸频率的分析.
  • 实施和比较波茨模型 (类似DCA) 和统计合分析 (SCA).
  • 审查最近在基因合成和功能选择方面的进展.

主要成果:

  • 波茨模型识别了蛋白质结构内的局部物理接触.
  • SCA 识别出更大的进化合的残留物网络.
  • 这两种方法都揭示了蛋白质序列和结构的重要特征.

结论:

  • 基于共进化的模型为蛋白质序列功能关系提供了强大的洞察力.
  • 实验技术的进步需要对这些模型进行基准测试以进行预测和设计.
  • 未来的工作应该专注于定量功能预测和新的蛋白质设计.