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相关概念视频

Ligand Binding Sites02:40

Ligand Binding Sites

12.7K
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...
12.7K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.4K
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
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

405
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
405
Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

113
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...
113

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相关实验视频

Updated: Jun 1, 2025

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
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Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors

Published on: October 26, 2015

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DisDock:一种用于金属离子-蛋白重组的深度学习方法.

Menghan Lin1, Keqiao Li1, Yuan Zhang1

  • 1Department of Statistics, Florida State University, Tallahassee, Florida, USA.

Proteins
|January 22, 2025
PubMed
概括

DisDock是一种新的深度学习方法,可以预测金属蛋白如何与金属离子结合. 这种工具可以准确地识别金属离子的结合点,进步我们对金属蛋白功能的理解.

科学领域:

  • 生物化学 生物化学
  • 结构生物学 结构生物学
  • 计算生物学 计算生物学

背景情况:

  • 金属蛋白结构对于理解它们的功能至关重要.
  • 虽然AlphaFold可以准确地预测蛋白质结构,但识别金属离子结合点仍然是一个挑战.
  • 预测蛋白质 - 金属相互作用对于金属蛋白质研究至关重要.

研究的目的:

  • 开发一种深度学习方法DisDock,用于预测蛋白质金属对接.
  • 准确确定金属蛋白中的金属离子的类型和结合结构.
  • 为了提高金属蛋白与金属相互作用的预测.

主要方法:

  • DisDock使用基于U-net架构的深度学习方法,具有自我注意模块.
  • 该方法采用蛋白质 - 连接体配置的distograms作为输入来预测结合复合体.
  • 它利用几何信息和原子吸引力的物理原理来预测相互作用.
  • 培训数据来源于所有数据库之母 (MOAD).

主要成果:

  • 与各种金属离子的现有方法相比,DisDock显示出更高的预测准确度.
  • 该模型有效地预测了蛋白质金属结合复合体.
关键词:
在U‐net中,U‐net是U‐net网络.深度学习是一种深度学习.这是一种金属蛋白质金属蛋白.蛋白质-合物对接

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Screening Traditional Chinese Medicine Compounds for Inhibiting UCHL3 Activity Based on Molecular Docking and Deubiquitinating Enzyme Probe Technology
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Screening Traditional Chinese Medicine Compounds for Inhibiting UCHL3 Activity Based on Molecular Docking and Deubiquitinating Enzyme Probe Technology

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相关实验视频

Last Updated: Jun 1, 2025

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
10:33

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors

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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

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Screening Traditional Chinese Medicine Compounds for Inhibiting UCHL3 Activity Based on Molecular Docking and Deubiquitinating Enzyme Probe Technology
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Screening Traditional Chinese Medicine Compounds for Inhibiting UCHL3 Activity Based on Molecular Docking and Deubiquitinating Enzyme Probe Technology

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  • 几何和基于交互的特征被深度学习模型成功捕获.
  • 结论:

    • 在预测蛋白质金属对接方面,DisDock提供了显著的进步.
    • 该方法可以准确地识别金属蛋白中的金属离子结合点.
    • 这种工具将有助于金属蛋白的结构和功能分析.