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相关概念视频

Protein Families02:47

Protein Families

16.7K
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 Families02:47

Protein Families

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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...
5.0K
Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

14.8K
Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
14.8K
Protein and Protein Structure02:15

Protein and Protein Structure

86.9K
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...
86.9K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

14.1K
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...
14.1K

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A Protocol for Computer-Based Protein Structure and Function Prediction
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结构引导的序列表示学习用于可概括的蛋白质功能预测.

SeokJun On1, Yujin Jeong1, Eun-Sol Kim1,2

  • 1Department of Artificial Intelligence, Hanyang University, Seoul 04763, Republic of Korea.

Bioinformatics (Oxford, England)
|September 19, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了结构引导的序列表示学习 (S2RL),这是一个新的框架,将蛋白质结构集成到基于序列的模型中,以更准确地预测功能. S2RL有效地捕捉了多尺度特征,改善了蛋白质功能和表达部位的预测.

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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.
  • 结构生物学 结构生物学

背景情况:

  • 从序列中预测蛋白质功能至关重要,但具有挑战性.
  • 现有的方法在使用结构数据时,与可变的蛋白质大小作斗争.
  • 作为残留物图表来表示蛋白质,由于尺寸变化而面临可扩展性问题.

研究的目的:

  • 开发一种用于蛋白质功能预测的新框架,将结构信息集成到基于序列的学习中.
  • 为了应对可变蛋白质大小在基于图表的表示中所面临的挑战.
  • 提高预测蛋白质功能,功能部位及其结构-序列关系的准确性和效率.

主要方法:

  • 拟议的结构导向序列表示学习 (S2RL) 框架.
  • 将结构知识纳入基于序列的学习范式.
  • 开发了一个可通用的多任务学习架构.

主要成果:

  • 注意力聚合方法有效地整合了全球结构和当地化学特性.
  • 在预测蛋白质功能,功能表达部位和结构序列关系方面提高了性能.
  • 通过同时预测多个蛋白质功能来实现效率.

结论:

  • S2RL框架通过利用基于序列的模型中的结构信息来增强蛋白质功能预测.
  • 该方法有效地处理可变蛋白质长度和提取多尺度特征.
  • 开发的架构为多任务蛋白质功能推断提供了更好的性能和灵活性.