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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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Ligand Binding Sites02:40

Ligand Binding Sites

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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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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....
6.2K
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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Conservation of Protein Domains02:26

Conservation of Protein Domains

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相关实验视频

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A Protocol for Computer-Based Protein Structure and Function Prediction
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PaleAle 6.0:通过利用预训练语言模型 (PLM) 预测蛋白质相对溶剂可访问性.

Wafa Alanazi1,2, Di Meng1, Gianluca Pollastri1

  • 1School of Computer Science, University College Dublin (UCD), D04 V1W8 Dublin, Ireland.

Biomolecules
|January 25, 2025
PubMed
概括

这项研究介绍了PaleAle 6.0,一种使用预训练语言模型预测蛋白质相对溶剂可访问性 (RSA) 的深度学习模型. PaleAle 6.0准确地预测RSA状态和值,推进蛋白质结构分析.

关键词:
生物信息学是一种生物信息学.计算生物学是计算生物学.深度学习是一种深度学习.自然语言处理自然语言处理.蛋白质结构预测 蛋白质结构预测结构生物信息学

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科学领域:

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

背景情况:

  • 预测蛋白质相对溶剂可访问性 (RSA) 对于理解蛋白质结构和功能至关重要.
  • 深度学习,特别是自然语言处理 (NLP) 集成,已经推进了蛋白质研究.
  • 同源性转移的局限性需要新的方法来预测RSA.

研究的目的:

  • 利用预先训练的语言模型 (PLM) 进行增强的蛋白质RSA预测.
  • 开发一种深度神经网络架构,用于分析蛋白序列相互作用.
  • 介绍PaleAle 6.0作为实值和离散RSA分类的预测器.

主要方法:

  • 利用了一个深度神经网络,结合了双向循环神经网络和卷积层.
  • 采用ESM-2编码用于蛋白质序列分析.
  • 开发了PaleAle 6.0用于预测实值,两态和四态RSA.

主要成果:

  • 在2022年测试组中,PaleAle 6.0在两种状态的RSA (RSA_2C) 中获得了超过82%的精度,在四种状态的RSA (RSA_4C) 中达到59.75%.
  • 在2022年测试集上,获得了77.88的Pearson相关系数 (PCC) 来进行实值RSA预测.
  • 在2024测试组中,PaleAle 6.0表现强,准确度为79.74% (RSA_2C),55.30% (RSA_4C) 和PCC为73.08,优于现有的预测器.

结论:

  • PaleAle 6.0有效地使用PLM和混合深度学习架构预测蛋白质RSA.
  • 该模型在不同的RSA分类方案和数据集中显示出强大的性能.
  • 这项工作推进了用于蛋白质结构预测和功能分析的计算方法.