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相关概念视频

Protein Folding01:25

Protein Folding

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Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
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Protein-protein Interfaces02:04

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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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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.
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The organelle-specific signaling sequences direct proteins synthesized in the cytosol to their final destination like ER, mitochondria, peroxisomes, etc. Some of the proteins directed to ER are then trafficked via vesicles to other organelles within the cell or the extracellular environment through the Golgi complex. For example, the rough ER synthesizes soluble proteins for transportation to the lysosomes or secretion out of the cell. It can also synthesize transmembrane proteins that can...
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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
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基于深度学习的动态蛋白质设计

Amy B Guo1,2, Deniz Akpinaroglu1,2, Christina A Stephens3,4

  • 1The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA, USA.

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概括

研究人员开发了一种深度学习方法来设计动态蛋白质结构, 这一突破使得新型可控蛋白信号行为得以产生.

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科学领域:

  • 蛋白质工程
  • 计算生物学
  • 生物物理

背景情况:

  • 通过深度学习可以设计静态的蛋白质结构.
  • 设计蛋白质的动态构造变化,对于信号至关重要,仍然是一个重大挑战.

研究的目的:

  • 开发一种以深度学习为指导的通用方法,用于动态蛋白质构造变化的新设计.
  • 通过模仿自然信号机制, 精确地控制蛋白质的运动.

主要方法:

  • 使用深度学习框架设计具有特定动态运动的新型蛋白质结构.
  • 使用结构生物学技术实验验证设计的蛋白质构造.
  • 通过配体和突变研究设计的形状景观的调制.
  • 使用基于物理的模拟来与深度学习预测和实验数据进行比较.

主要成果:

  • 成功设计和验证了四种表现出可控动态变化的蛋白质结构.
  • 证明了 ortosteric 连接体和 allosteric 突变可以调节设计的构造景观.
  • 基于物理的模拟证实了深度学习的预测和实验结果.

结论:

  • 开发的深度学习方法使新蛋白质运动的新设计成为可能.
  • 提供了一个创建可调和可控制信号行为的合成蛋白质的框架.
  • 开辟了工程生物学灵感的动态蛋白功能的新途径.