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相关概念视频

Ligand Binding Sites02:40

Ligand Binding Sites

12.8K
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...
12.8K

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相关实验视频

Updated: Jul 5, 2025

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

Published on: October 26, 2015

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DockOpt:一个用于对接模型自动优化的工具.

Ian S Knight1, Olivier Mailhot1, Khanh G Tang1

  • 1Department of Pharmaceutical Chemistry, UCSF, 1700 Fourth Street, San Francisco, California 94158-2330, United States.

Journal of chemical information and modeling
|January 11, 2024
PubMed
概括
此摘要是机器生成的。

DockOpt自动化了分子对接模型的创建和优化,使药物发现更容易获得. 这种新的实用程序显著提高了性能,使其在新疗法查中得到更广泛的使用.

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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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相关实验视频

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

Published on: October 26, 2015

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Author Spotlight: Streamlining Visual Dynamics to Simplify Molecular Dynamics Simulations Using Gromacs
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Author Spotlight: Streamlining Visual Dynamics to Simplify Molecular Dynamics Simulations Using Gromacs

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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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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
  • 结构生物学是结构生物学.

背景情况:

  • 分子对接对联体发现至关重要,但受到复杂性限制,需要专家知识.
  • 现有的分子对接的自动化工具尚未完全解决这些可访问性挑战.

研究的目的:

  • 开发一个自动化实用程序,DockOpt,用于创建,评估和优化分子对接模型.
  • 为更广泛的研究人员提高分子对接的可访问性和效率.

主要方法:

  • 开发DockOpt,这是一个用于对接模型生成的新型自动化管道.
  • 在43个目标中使用DUDE-Z基准数据集对DockOpt的评估.
  • 基于丰富系数和正常化LogAUC值的模型性能评估.

主要成果:

  • 与以前的自动化管道相比,DockOpt在所有43个DUDE-Z目标上都表现出了优异的性能.
  • 对于84%的目标,生成的对接模型显示了足够的丰富度 (规范的LogAUC≥15%) 来进行潜在的选.
  • 该实用程序集成到UCSF DOCK 3.8发行版中的Pydock3包中.

结论:

  • DockOpt显著推进了自动化分子对接,提高了可访问性和性能.
  • 该工具在生成高质量的对接模型方面的有效性支持其在大规模药物发现工作中使用.
  • 学术研究人员和注册用户可以免费使用DockOpt,促进科学界更广泛地采用它.