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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....
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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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Ligand Binding Sites02:40

Ligand Binding Sites

12.8K
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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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...
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Protein-Protein Interfaces02:04

Protein-Protein Interfaces

3.8K
3.8K
Protein Networks02:26

Protein Networks

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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基于生物物理学的蛋白质语言模型用于蛋白质工程.

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突变效应转移学习 (METL) 集成了生物物理学和机器学习,用于蛋白质工程. 这种新的框架通过利用生物物理模拟来提高对蛋白质特性的预测,即使数据有限.

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科学领域:

  • 计算生物学 计算生物学
  • 生物物理学的生物物理.
  • 机器学习 机器学习

背景情况:

  • 蛋白质语言模型 (PLMs) 擅长使用进化数据预测蛋白质序列,结构和功能.
  • 现有的PLM往往忽视了控制蛋白质行为和功能的关键生物物理因素.

研究的目的:

  • 引入突变效应转移学习 (METL),这是一个新的框架,将机器学习与生物物理建模相结合.
  • 通过结合生物物理原理来增强蛋白质语言模型的预测能力.

主要方法:

  • 在生物物理模拟数据上预训练基于变压器的神经网络,以学习序列结构-能量学关系.
  • 在实验序列功能数据上完成METL,以预测蛋白质特性,如热稳定性,活性和光.

主要成果:

  • 在蛋白质工程任务中,METL表现出卓越的性能,特别是从小型数据集和位置推断中进行概括.
  • 该框架成功设计了功能绿色光蛋白变体,仅使用64个训练示例.

结论:

  • METL为蛋白质语言建模提供了一种强大的生物物理学知情方法.
  • 这一框架显示了通过整合机器学习和生物物理见解来推进蛋白质工程和设计的巨大潜力.