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相关概念视频

Protein and Protein Structures02:15

Protein and Protein Structures

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Protein and Protein Structure02:15

Protein and Protein Structure

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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
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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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Protein Folding01:25

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Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
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Within a biological system, the DNA encodes the RNA, and the nucleotide sequence in the RNA further defines the amino acid sequence in the protein. This is referred to as “The Central Dogma of Molecular Biology” - a term coined by Francis Crick.  Central dogma is a firm principle in biology that defines the flow of genetic information within any life form. The two fundamental steps in central dogma are - transcription and translation.
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相关实验视频

Updated: Jul 9, 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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用语言模型学习蛋白质的序列,结构和功能表示.

Tymor Hamamsy1, Meet Barot2, James T Morton3

  • 1Center for Data Science, New York University, New York, NY, USA.

bioRxiv : the preprint server for biology
|December 4, 2023
PubMed
概括
此摘要是机器生成的。

蛋白质语言模型现在可以预测蛋白质的功能,结构和序列关系. 这种计算方法有助于注释和理解所有生命中蛋白质的巨大多样性.

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相关实验视频

Last Updated: Jul 9, 2025

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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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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.
  • 分子生物学分子生物学

背景情况:

  • 蛋白质序列-结构-功能关系是复杂的,对于细胞过程至关重要.
  • 像UniProt这样的现有蛋白质数据库具有有限的实验验证功能 (<1%).
  • 计算方法对于全面的蛋白质注释和功能预测至关重要.

研究的目的:

  • 开发一个用于学习多方面蛋白质表示的计算框架.
  • 为了使敏感的蛋白质序列搜索和注释使用序列,结构和功能数据.
  • 为了促进大规模的计算蛋白质注释和功能预测.

主要方法:

  • 使用基于蛋白质语言模型的多方面框架.
  • 从氨基酸序列学习集成的序列结构函数表示.
  • 开发一个信息检索系统,Protein-Vec,用于多方面蛋白质分析.

主要成果:

  • 证明了蛋白质语言模型捕捉序列结构功能关系的能力.
  • 成功开发了Protein-Vec,这是一个用于多方面蛋白质数据的信息检索系统.
  • 启用了敏感和准确的计算蛋白质注释和功能预测.

结论:

  • 蛋白质语言模型为了解蛋白质序列-结构-功能提供了一个强大的基础.
  • 蛋白-Vec为计算式蛋白质注释和功能预测提供了一个可扩展的解决方案.
  • 这种方法解决了蛋白质数据库中实验数据的局限性.