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相关概念视频

Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

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Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
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Protein Complexes with Interchangeable Parts01:57

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Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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码头:将资源扩展到蛋白质-DNA复合体

Keeley W Collins1, Matthew M Copeland1, Petras J Kundrotas1

  • 1Computational Biology Program, The University of Kansas, Lawrence, KS 66045, United States.

Journal of molecular biology
|November 22, 2025
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概括

现在Dockground项目包括蛋白质-DNA相互作用,为分子机制的计算建模提供了关键数据. 该资源有助于理解细胞过程,并开发新的基于结构的建模技术.

关键词:
分子数据库,分子数据库.分子识别分子识别蛋白质对接的对接方式蛋白质-DNA复合体中的蛋白质.结构建模结构建模

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科学领域:

  • 结构生物学 结构生物学
  • 计算生物学 计算生物学
  • 分子生物学分子生物学

背景情况:

  • 蛋白质-DNA相互作用对复制,转录和DNA修复等必要的细胞过程至关重要.
  • 通过实验确定蛋白质核酸复合物的结构是具有挑战性的,因为它们的不稳定性,导致有限的可用数据.
  • 计算建模对于理解生物分子机制和预测分子相互作用至关重要.

研究的目的:

  • 扩大Dockground资源,包括蛋白质-DNA复合体,增强对宏分子接口的知识.
  • 为开发和改进宏分子相互作用的基于结构的建模技术提供数据资源.
  • 提供新的功能,包括自动每周更新和对蛋白质-DNA复杂数据的用户友好的Web界面.

主要方法:

  • 扩展Dockground数据库,包括蛋白质-DNA复合体.
  • 实现资源的自动每周更新程序.
  • 开发一个用户友好的网络界面来搜索,分析和下载复杂的数据.

主要成果:

  • 现在Dockground资源全面涵盖了蛋白质-蛋白质,蛋白质-RNA和蛋白质-DNA相互作用.
  • 新的自动更新和增强的网页界面提高了研究人员的可访问性和实用性.
  • 该资源的实用性通过对蛋白质-DNA复合体数据进行AlphaFold3预测的基准测试来证明.

结论:

  • 扩展的Dockground资源显著推进了宏分子相互作用的研究,特别是蛋白质-DNA复合体.
  • 该资源对于计算建模至关重要,有助于理解和潜在调节关键细胞过程.
  • 码头地带作为一个有价值的,公开可访问的数据库,用于结构生物学和计算建模社区.