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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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The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

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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:
12.8K
Conserved Binding Sites01:49

Conserved Binding Sites

4.1K
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 and Linkage00:49

Ligand Binding and Linkage

4.7K
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...
4.7K

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Updated: May 26, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
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使用实验性连接体结构密度的对接指导改善了对接姿势预测和虚拟选性能.

Althea T Hansel-Harris1, Andreas F Tillack1, Diogo Santos-Martins1

  • 1Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA.

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概括

CryoXKit利用冷电子显微镜 (cryo-EM) 和X射线晶体学 (XRC) 的实验密度来提高分子对接的准确性. 该工具增强了药物设计的姿势预测和虚拟查,而不需要专家干预或药理学定义.

关键词:
这是一个自动码头.停靠的对接方式发现药物的发现.虚拟选 虚拟选 虚拟选

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科学领域:

  • 结构生物学 结构生物学
  • 计算化学计算化学
  • 药物发现 药物发现 药物发现

背景情况:

  • 来自X射线晶体学 (XRC) 和冷电子显微镜 (cryo-EM) 的高分辨率宏分子结构丰富,为药物设计提供了宝贵的见解.
  • 目前的方法通常依赖于对接的原子坐标,忽视了实验密度图中包含的丰富信息.
  • 直接利用密度信息可以绕过对坐标的专家解释的需要,并更全面地确定潜在的连接结区域.

研究的目的:

  • 开发一种新的计算工具 CryoXKit,用于将实验密度数据集成到分子对接工作流程中.
  • 评估CryoXKit在像重新对接和交叉对接这样的姿势预测任务中提供的性能改进.
  • 评估 CryoXKit 增强姿势对虚拟查活动歧视力的影响.

主要方法:

  • CryoXKit的开发旨在将实验密度 (来自冷-EM或XRC) 作为对接期间重原子的偏差潜力.
  • 该工具与AutoDock-GPU集成,用于对接模拟.
  • 使用重新对接和交叉对接任务以及与LIT-PCBA数据集进行虚拟选来评估性能.

主要成果:

  • 与标准AutoDock4.4相比,使用CryoXKit指南的对接显示了重新对接和交叉对接准确度的显著改进.
  • 交叉对接的失败突出了不同蛋白质-连接体复合体之间信息传输的局限性.
  • 从CryoXKit辅助对接中恢复改进的姿势,增强了针对特定目标的虚拟选中的歧视力.

结论:

  • CryoXKit提供了一种用户友好且计算成本低廉的方法,可以使用实验密度数据来提高分子对接性能.
  • 该工具不需要先前的药理物定义,简化了对接过程.
  • 通过有效利用结构密度信息,CryoXKit代表了药物设计的宝贵进步.