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相关概念视频

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
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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.
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通过竞争性蛋白质二元化网络计算的原理

Jacob Parres-Gold1,2, Matthew Levine3, Benjamin Emert1

  • 1Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.

bioRxiv : the preprint server for biology
|November 14, 2023
PubMed
概括

蛋白质二元化网络是生物学中的强大的计算工具. 即使是小型网络也可以执行复杂的计算,根据蛋白质水平和细胞类型调整它们的功能.

关键词:
生物计算生物计算具有竞争力的二分化.计算表达性的表达性计算建模计算建模蛋白质与蛋白质相互作用网络

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科学领域:

  • 生物化学 生物化学
  • 系统生物学 系统生物学
  • 计算生物学 计算生物学

背景情况:

  • 生物信号通路经常利用具有竞争性二元化的蛋白质.
  • 这些二元化网络作为生物化学计算机,将单体度 (输入) 转化为二元度 (输出).
  • 计算能力,或者说计算能力,或者说计算能力.
  • 他们的表现力,表现力.
  • 然而,这些网络的功能并未得到充分理解.

研究的目的:

  • 研究蛋白质二元化网络的计算范围和多功能性.
  • 为了确定网络大小和连接性如何影响他们的输入输出计算.
  • 探索二度化网络在信号处理中的潜力.

主要方法:

  • 采用了一种系统的计算方法.
  • 分析的重点是网络大小,连接性和蛋白质表达水平.
  • 模拟评估了所执行的生化计算的范围.

主要成果:

  • 小二元化网络 (3-6个单体) 具有显著的表达性,可以执行多种多输入计算.
  • 这些网络表现出多功能性,改变基于蛋白质表达水平 (例如,在不同的细胞类型) 的计算.
  • 具有随机亲和性的较大网络 (≥8个蛋白质) 通过调整单体表达,可以执行大约90%的潜在单输入计算.

结论:

  • 竞争性蛋白质二分化是生物化学计算的强大和多功能机制.
  • 模量化网络为多输入,细胞类型特定的信号处理提供了强大的架构.
  • 这项研究强调了简单的二元化过程中固有的显著计算潜力.