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相关概念视频

Protein Organization01:24

Protein Organization

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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....
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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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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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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 Folding01:22

Protein Folding

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Overview
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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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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Updated: Jul 26, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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机器学习方法用于从单个序列中预测蛋白质结构.

Shaun M Kandathil1, Andy M Lau1, David T Jones1

  • 1Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom.

Current opinion in structural biology
|June 15, 2023
PubMed
概括
此摘要是机器生成的。

深度神经网络正在通过直接输出3D原子坐标来彻底改变蛋白质结构预测. 新方法专注于使用单个序列,推进计算生物学和蛋白质建模.

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科学领域:

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

背景情况:

  • 深度神经网络 (DNN) 已成为促进蛋白质结构预测的关键.
  • 最近的DNN直接生成3D原子坐标,与传统方法相比,具有显著的优势.
  • 虽然许多DNN使用多个序列对齐,但一种新的方法使用单个序列作为输入.

研究的目的:

  • 阐明DNN用于使用单个序列预测蛋白质结构的架构和操作原理.
  • 审查最近的进展,并确定未来的研究方向在这个快速发展的领域.

主要方法:

  • 深度神经网络架构的分析.
  • 对采用单个序列输入用于蛋白质结构预测的方法的审查.
  • 讨论结构生物学中的计算方法.

主要成果:

  • 直接预测3D原子坐标的DNN代表了蛋白质结构预测的重大飞跃.
  • 新兴的方法成功地利用单个序列,简化输入要求.
  • 这些进步简化了确定蛋白质结构的过程.

结论:

  • 单序输入DNN是蛋白质结构预测的一个有希望的发展.
  • 对这些模型的进一步研究可能会产生更准确,更有效的蛋白质结构确定.
  • 这种方法有可能加速分子生物学和药物设计方面的发现.