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相关概念视频

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...
12.4K
Protein Networks02:26

Protein Networks

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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,...
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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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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-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

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Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
Indirect methods involve isolating the bound drug from its free form in biological samples such as blood, serum, or plasma. These techniques aim to measure the percentage of drugs bound to proteins. Equilibrium dialysis is a commonly used method where the free drug concentration at equilibrium is measured by separating the bound...
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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CPI-Pred:一种深度学习框架,用于预测化合物-蛋白相互作用的功能参数.

Zhiqing Xu1, Rana Ahmed Barghout1, Jinghao Wu1

  • 1Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada.

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概括

深度学习模型CPI-Pred使用酶和化合物序列准确预测化合物-蛋白相互作用 (CPI). 这通过克服数据限制,推进了酶发现和代谢工程.

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科学领域:

  • 计算生物学 计算生物学
  • 生物化学 生物化学
  • 机器学习 机器学习

背景情况:

  • 深度学习推进了基因组注释和酶发现.
  • 由于数据的复杂性和稀疏性,预测化合物-蛋白相互作用 (CPI) 是一个挑战.
  • 准确的CPI预测对于理解酶功能和调节至关重要.

研究的目的:

  • 介绍CPI-Pred,这是一个通用的深度学习模型,用于预测化合物-蛋白质相互作用功能.
  • 利用新的深度学习架构来增强CPI预测.
  • 编制最大的酶动力学参数数据集,用于培训和评估.

主要方法:

  • CPI-Pred集成了来自消息传递神经网络的化合物表示和来自蛋白质语言模型的酶表示.
  • 使用创新的序列聚合和交叉注意力机制.
  • 在一个全面的酶动力学参数数据集上进行训练和评估 (KM,kcat,kcat/KM,KI).

主要成果:

  • CPI-Pred只使用酶氨基酸序列和化合物结构表示,准确地预测各种CPI类型.
  • 在未见的化合物和结构不相似的酶上表现优于最先进的模型.
  • 证明了模型在广泛的交互中对广泛的交互的概括能力.

结论:

  • 对于代谢工程挑战,CPI-Pred提供了一种有价值的工具,包括新的酶和化合物设计.
  • 精心策划的数据集作为机器学习模型在酶活性和乱交预测中的基准.
  • 促进新酶和代谢物的发现,在各种生物环境中具有潜在的应用.