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相关概念视频

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.
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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:
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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...
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RLDOCKScore:用于RNA-连接器对接和小分子虚拟查的评分函数.

Yuanzhe Zhou1, Wenfei Li1, Shi-Jie Chen2

  • 1Department of Physics and Astronomy, University of Missouri-Columbia, Columbia, Missouri 65211-7010, United States.

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|September 23, 2025
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此摘要是机器生成的。

一个新的评分功能,RLDOCKScore,改善了针对RNA向药物的虚拟查. 它准确地预测绑定姿势,并比现有方法更有效地识别潜在的毒品线索.

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科学领域:

  • 计算化学是一种计算化学.
  • 药物发现 药物发现
  • 分子建模分子建模

背景情况:

  • 对RNA标的虚拟查是成本效益高的药物发现的关键.
  • 现有的RNA-连接体评分函数在姿势预测方面表现出色,但缺乏强大的虚拟查评估.
  • 准确的评分功能对于识别新型RNA结合药物线索至关重要.

研究的目的:

  • 为了开发一个增强的评分功能,RLDOCKScore,既用于RNA-合体姿势预测和虚拟查.
  • 通过结合详细的物理效果来改进当前的评分功能.

主要方法:

  • 开发了RLDOCKScore,包括堆叠,溶解和形状灵活性.
  • 评估了RLDOCKScore对122个RNA-连接体复合体进行姿势预测.
  • 评估RLDOCKScore在HIV-1 TAR和四个 рибо开关上的虚拟查性能.

主要成果:

  • 与其他方法相比,RLDOCKScore在虚拟查中表现优越.
  • 它在HIV-1 TAR组合中获得了25.0的顶-2%丰富系数和0.86的AUC.
  • RLDOCKScore显示了竞争力的姿势预测准确性,超过了大多数测试的功能.

结论:

  • RLDOCKScore是计算药物发现的宝贵工具,其目标是RNA.
  • 该功能有效地平衡了构成预测和虚拟选能力.
  • RLDOCKScore 增强了用于基于RNA的疗法的新型化合物的识别.