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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

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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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Cell-surface Signaling01:21

Cell-surface Signaling

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Hormones—or any molecule that binds to a receptor, known as a ligand—that are lipid-insoluble (water-soluble) are not able to diffuse across the cell membrane. In order to be able to affect a cell without entering it, these hormones bind to receptors on the cell membrane. When a first messenger, a hormone, binds to a receptor, a signal cascade is set off, causing second messengers, proteins inside the cell, to become activated, resulting in downstream effects.
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Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
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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相关实验视频

Updated: Jun 2, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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使用可通用的深度学习工具针对蛋白质连接体新表面

Anthony Marchand1, Stephen Buckley1, Arne Schneuing1

  • 1Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, Ecole polytechnique fédérale de Lausanne, Lausanne, Switzerland.

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概括

研究人员开发了一种计算策略来设计针对新表面的蛋白质, 这种方法使用深度学习来创建用于药物控制治疗的新型化学诱导蛋白相互作用.

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科学领域:

  • 生物化学
  • 计算生物学
  • 药物发现

背景情况:

  • 蛋白与蛋白的相互作用是生物过程的基础.
  • 小分子对这些相互作用的调节是一个新兴领域.
  • 化学诱导蛋白相互作用的计算设计仍然具有挑战性.

研究的目的:

  • 为设计针对新表面 (由蛋白质 - 连接体复合体产生的表面) 的蛋白质提出计算策略.
  • 展示深度学习模型对新型分子环境的概括性.

主要方法:

  • 使用几何深度学习方法学习分子表面表示.
  • 对三种与药物结合的蛋白质复合物 (Bcl2-venetoclax,DB3-progesterone,PDF1-actinonin) 进行了开发和实验验证的蛋白质结合剂.

主要成果:

  • 设计的蛋白质结合剂对其向新表面具有很高的亲属性和特异性.
  • 证明在蛋白质上训练的表面指纹可以成功应用于新表面.
  • 验证了深度学习方法在不同药物向复合体中的通用性.

结论:

  • 开发的计算策略可以设计针对新表面的蛋白质.
  • 这种方法强烈地证明了深度学习模型的可通用性.
  • 设计的化学诱导蛋白相互作用具有工程细胞和药物控制疗法的潜力.