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相关概念视频

Conserved Binding Sites01:49

Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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Mismatch Repair01:20

Mismatch Repair

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Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
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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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相关实验视频

Updated: Jul 11, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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基于对齐的蛋白质突变景观预测:用更少的时间做得更多.

Marina Abakarova1,2, Céline Marquet3,4, Michael Rera2

  • 1CNRS, IBPS, Laboratory of Computational and Quantitative Biology (LCQB), Sorbonne Université, UMR 7238, Paris 75005, France.

Genome biology and evolution
|November 8, 2023
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概括

计算方法使用基因组数据预测误解变异效应. 这项研究利用快速的同质性搜索,有效地绘制了人类蛋白质组的地图.

关键词:
深度突变扫描 (deep mutational scan) 是一种深度突变扫描.演化 演化 演化 演化 演化 演化基因型表型关系关系多个序列对齐的多重序列对齐.蛋白质突变突变是一种蛋白质突变.

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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相关实验视频

Last Updated: Jul 11, 2025

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科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 蛋白质科学 蛋白质科学

背景情况:

  • 基因组数据为错误变异的表型结果的计算预测提供了燃料.
  • 准确的预测方法通常依赖于多重序列对齐 (MSAs),这是资源密集型的生成.
  • 蛋白质结构预测的进步提供了更快的同质性搜索解决方案,如MMseqs2,可能克服MSA瓶.

研究的目的:

  • 评估快速同源性搜索策略对预测误解变异结果的有用性.
  • 评估为整个蛋白质组生成高质量,计算效率高,基于对齐的突变景观预测的可行性.

主要方法:

  • 在72个蛋白质家族中对150万个误解变异进行了大规模评估.
  • 利用MMseqs2进行快速的同类搜索,以生成必要的序列对齐.
  • 开发并应用了用于突变结果预测的计算管道.

主要成果:

  • 证明了生产高质量,基于对齐的突变性景观预测的可行性.
  • 展示了大规模蛋白质组分析策略的计算效率.
  • 产生了完整的人类蛋白质组突变景观.

结论:

  • 基于MMseqs2的策略是有效的有效和准确的突变结果预测.
  • 这种方法使大规模基因组研究的基于对齐的预测产生民主化.
  • 提供的人类蛋白质组突变的景观和管道提供了宝贵的社区资源.