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Ligand Binding Sites02:40

Ligand Binding Sites

13.4K
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...
13.4K
Protein-protein Interfaces02:04

Protein-protein Interfaces

13.4K
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...
13.4K
Conserved Binding Sites01:49

Conserved Binding Sites

4.4K
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...
4.4K
Protein Networks02:26

Protein Networks

4.1K
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,...
4.1K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.9K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
4.9K
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

13.7K
The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
13.7K

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相关实验视频

Updated: Sep 16, 2025

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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量子算法用于在相互作用空间中识别蛋白质-连接体对接点.

Ioannis Liliopoulos1, Georgios D Varsamis1, Theodora Karamanidou2

  • 1Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, 67100, Greece.

Journal of computer-aided molecular design
|July 5, 2025
PubMed
概括

量子计算为药物设计提供了一种新的方法. 一个新的量子算法有效地识别了蛋白质-连接体对接点,显示了未来药物发现应用的前景.

关键词:
药物设计 药物设计带对接的连接体对接量子算法中的量子算法量子计算是一种量子计算.

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

  • 计算化学是一种计算化学.
  • 量子计算应用程序 量子计算应用程序
  • 药物发现 药物发现

背景情况:

  • 药物开发在很大程度上依赖于计算方法来进行蛋白质 - 配体结合分析.
  • 高性能计算在解决连接对接的量子力学性质方面存在局限性.
  • 在药物设计中越来越需要先进的计算技术.

研究的目的:

  • 引入一种新的量子算法来识别蛋白质-连接体对接点.
  • 探索量子计算在解决药物设计方面的挑战中的应用.
  • 为了证明量子算法在计算药物发现中的有效性.

主要方法:

  • 扩展蛋白质晶格模型,以纳入蛋白质 - 连接体相互作用.
  • 引入量子状态标签,用于识别相互作用地点.
  • 实施修改的格罗弗量子搜索算法用于对接站点识别.

主要成果:

  • 量子算法成功地在量子模拟器和真实量子硬件上识别了蛋白质-连接体对接点.
  • 该算法展示了高可扩展性,适用于大型蛋白质结构.
  • 这项研究证实了量子算法在计算药物设计中的潜力.

结论:

  • 量子计算为增强药物设计过程提供了可行的和强大的工具.
  • 开发的量子算法是有效的蛋白质-连接体对接点的识别.
  • 这种方法非常适合利用量子计算能力的未来进步.