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相关概念视频

Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

10.8K
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...
10.8K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.5K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Protein Organization01:24

Protein Organization

6.4K
Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
6.4K
Protein Families02:47

Protein Families

15.3K
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...
15.3K
Protein Networks02:26

Protein Networks

3.9K
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,...
3.9K
Protein and Protein Structure02:15

Protein and Protein Structure

79.4K
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...
79.4K

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相关实验视频

Updated: Jun 24, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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人工智能学会了蛋白质预测

Michael Heinzinger1, Burkhard Rost2,3,4,5

  • 1Technical University of Munich (TUM) School of School of Computation, Information and Technology (CIT), Bioinformatics and Computational Biology - i12, 85748 Garching/Munich, Germany mheinzinger@rostlab.org.

Cold Spring Harbor perspectives in biology
|June 10, 2024
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 正在彻底改变生物学. 像AlphaFold2和蛋白质语言模型 (pLMs) 这样的先进的人工智能工具正在加速生物研究,并使强大的新蛋白质设计能力成为可能.

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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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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

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相关实验视频

Last Updated: Jun 24, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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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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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

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科学领域:

  • 计算生物学 计算生物学
  • 人工智能的人工智能
  • 分子生物学分子生物学

背景情况:

  • 人工智能 (AI) 最近的进步导致了各种科学领域的突破.
  • 计算生物学正在迅速发展,反映了人工智能的进步,使用诸如AlphaFold2等工具来预测蛋白质结构.

研究的目的:

  • 突出人工智能对分子生物学和医学生物学的变革性影响.
  • 强调人工智能在促进蛋白质设计方面的潜力.

主要方法:

  • 利用大规模的蛋白质序列数据库.
  • 使用深度学习技术来识别蛋白质数据中的模式.
  • 蛋白质语言模型 (pLMs) 的开发.

主要成果:

  • 蛋白质语言模型 (pLMs) 现在超越了依赖专业知识和多个序列对齐的传统方法.
  • 人工智能工具正在显著增加实验数据,加速研究周期.
  • 人工智能正在为增强蛋白质设计能力铺平道路.

结论:

  • 人工智能正在从根本上改变分子和医学生物学.
  • 整合人工智能对于未来的生物学发现和应用至关重要.
  • 人工智能驱动的蛋白质设计代表了该领域的重大飞跃.