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相关概念视频

Ligand Binding Sites02:40

Ligand Binding Sites

12.9K
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...
12.9K
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...
12.5K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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3.1K
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

13.0K
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:
13.0K
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...
4.2K
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

51.9K
Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
51.9K

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Updated: Jul 21, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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蛋白质-连接体CH-π相互作用:结构信息学,能量功能的发展和对接实施.

Yao Xiao1, Robert J Woods1

  • 1Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602, United States.

Journal of chemical theory and computation
|July 26, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个新的能量函数来建模CH-π相互作用,提高了蛋白质 - 连接体复合体的分子对接精度,特别是那些涉及碳水化合物的复合体.

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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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科学领域:

  • 计算化学是一种计算化学.
  • 结构生物学是结构生物学.
  • 药物发现 药物发现

背景情况:

  • CH-π 相互作用在蛋白质 - 配体结合中至关重要,但在标准计算工具中缺乏准确的模型.
  • 现有的分子力学力场和对接得分函数无法充分量化CH-π贡献.

研究的目的:

  • 使用量子力学数据开发CH-π相互作用的实证能量函数.
  • 将这个新术语集成到AutoDock Vina (AD VINA) 的评分功能中.
  • 评估CH-π术语对预测蛋白质 - 连接体复杂结构和提高对接性能的影响.

主要方法:

  • 基于量子力学数据开发了一种实证的能量函数,用于甲-相互作用.
  • 将CH-π项纳入了AutoDock Vina评分函数中.
  • 利用一个构造格子搜索算法来评估连接体的方向.
  • 测试了与实验性蛋白质 - 配体复合结构和基准数据集的性能.

主要成果:

  • 该CH-π术语改善了在蛋白质结合位点中预测首选的配体方向.
  • 增强了检测表现出CH-π相互作用的碳水化合物结合部位的功能.
  • 在CASF-2016基准和特定碳水化合物数据集上证明了改进的对接性能.

结论:

  • 开发的CH-π能量术语是分子对接评分功能的宝贵补充.
  • 这种增强提高了对蛋白质-连接体相互作用建模的准确性,特别是对于碳水化合物连接体.
  • 改进的模型有助于理解和预测涉及CH-π相互作用的结合模式.