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相关概念视频

Conserved Binding Sites01:49

Conserved Binding Sites

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 analyses the...
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...

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相关实验视频

Updated: Jul 13, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
06:50

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

在整个小鼠蛋白质组中,PDZ域结合选择性得到了优化.

Michael A Stiffler1, Jiunn R Chen, Viara P Grantcharova

  • 1Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, MA 02138, USA.

Science (New York, N.Y.)
|July 21, 2007
PubMed
概括

对于蛋白质相互作用至关重要的PDZ域,不形成不同的功能类. 相反,它们在结合选择性方面表现出广泛的分布,这表明蛋白质组范围内的优化可以减少交叉反应性.

科学领域:

  • 分子生物学分子生物学
  • 蛋白质组学是指蛋白质组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • PDZ域是关键的蛋白质相互作用模块.
  • 以前的理解表明基于结偏好的离散功能类.

研究的目的:

  • 描述小鼠PDZ域对大量的结合选择性.
  • 开发PDZ域-相互作用的预测模型.
  • 挑战现有的离散PDZ域函数类范式.

主要方法:

  • 使用蛋白质微阵列进行高通量选.
  • 采用定量光极化来测量结合亲缘关系.
  • 开发和训练了一个多域选择性模型.

主要成果:

  • 对 157 个小鼠 PDZ 域与 217 种的特征结合选择性.
  • 开发的模型准确地预测了整个小鼠蛋白质组的PDZ域-相互作用.
  • 证明PDZ域分布在选择性空间中,而不是分为离散类.

结论:

  • 目前的离散PDZ域类范式受到挑战.

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Last Updated: Jul 13, 2026

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  • PDZ域似乎在整个蛋白质组中被优化,以最大限度地减少交叉反应.
  • 将实验与相互作用域家族建模的整合对于未来的蛋白质功能研究至关重要.