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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.2K
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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Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.1K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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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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Protein Families02:47

Protein Families

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Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key...
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Conservation of Protein Domains02:26

Conservation of Protein Domains

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Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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相关实验视频

Updated: Sep 19, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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通过基于同类学和表示的层次聚类来探索大蛋白序列空间.

John Z Chen1,2, Barnabas Gall1,3, Sacha B Pulsford1,3

  • 1Research School of Chemistry, Australian National University, Canberra, Australia.

Molecular biology and evolution
|June 4, 2025
PubMed
概括

我们开发了一个可扩展的蛋白质序列分析管道,以探索蛋白质序列功能关系. 我们的方法使用分层可视化和蛋白质语言模型来改进同质检测,帮助科学发现.

关键词:
生物信息学是一种生物信息学.计算生物学是计算生物学.功能性注释功能性注释蛋白质的进化 蛋白质的进化序列 太空探索 太空探索工具和管道以及管道.

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相关实验视频

Last Updated: Sep 19, 2025

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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 结构生物学 结构生物学

背景情况:

  • 探索蛋白质序列空间对于理解蛋白质的功能和关系至关重要.
  • 传统的序列相似性网络面临着可扩展性和层次同样性可视化方面的局限性.
  • 目前的方法难以分析非常大的蛋白质序列数据集.

研究的目的:

  • 提出一个创新的序列分析管道,解决传统方法的局限性.
  • 为了使大蛋白序列数据集的可扩展探索.
  • 为了增强对蛋白质序列功能关系的理解.

主要方法:

  • 开发了一种对同类学的层次可视化方法.
  • 利用蛋白质语言模型嵌入作为BLAST的替代同类度量.
  • 使用HMM或矢量表示来进行无偏向的代表性序列采样.
  • 将管道应用于FMN/F420结合式分裂桶和核运输因子2类超级家族.

主要成果:

  • 层次可视化捕捉了蛋白质超级家族的完整同质范围.
  • 蛋白质语言模型嵌入提供了与BLAST相似的结果,用于识别异功能家族.
  • 无偏的序列采样改善了家族遗传学分析.
  • 该管道可扩展到桌面计算机上的大约445,000个序列.

结论:

  • 开发的管道为探索大型蛋白质序列数据集提供了一个可扩展的解决方案.
  • 视觉化和同质度量的创新增强了蛋白质序列功能分析.
  • 公开可用的代码 (ProteinClusterTools) 促进了更广泛的研究应用.