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相关概念视频

Protein Folding01:22

Protein Folding

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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.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
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Protein Folding Quality Check in the RER01:29

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ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
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Conservation of Protein Domains Over Different Proteins02:26

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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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Protein and Protein Structure02:15

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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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Molecular Chaperones and Protein Folding03:00

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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使用FolDE优化低N蛋白活性.

Jacob B Roberts1,2,3, Catherine R Ji4, Isaac Donnell1,3,5

  • 1Joint BioEnergy Institute, Emeryville, CA, USA.

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|November 24, 2025
PubMed
概括
此摘要是机器生成的。

FolDE通过智能选择用于测试的突变体来增强蛋白质优化. 这种主动学习辅助定向进化 (ALDE) 方法提高了预测准确性,更有效地发现了优质蛋白质变体.

关键词:
阿尔德 (ALDE) 是一个低N蛋白质工程 低N蛋白质工程强化学习是一种强化学习.

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科学领域:

  • 蛋白质工程是一种蛋白质工程.
  • 计算生物学是一种计算生物学.
  • 生物技术是生物技术.

背景情况:

  • 蛋白质优化传统上需要对突变物进行广泛的实验选.
  • 积极学习辅助的定向进化 (ALDE) 通过预测有益的突变来降低成本.
  • 目前的ALDE方法受到同质的训练数据的影响,这限制了以后轮的预测准确性.

研究的目的:

  • 开发一种新的ALDE方法,FolDE,以最大限度地提高蛋白质优化活动的成功率.
  • 提高预测有益蛋白质突变的准确性和效率.

主要方法:

  • FolDE使用基于自然性的热启动,将蛋白质语言模型输出与实验数据集成在一起.
  • 引入了一种恒定骗子批量选择器,以增强多变异运动的批量多样性.
  • 该方法通过对20个不同的蛋白质标进行模拟来评估.

主要成果:

  • 与基线方法相比,FolDE发现了23%更多的前10%突变物 (p=0.005).
  • 在FolDE中,发现前1%突变的可能性提高了55%.
  • 基于自然性的热启动,通过增加有限的测量,显著改善了活动预测.

结论:

  • 在蛋白质工程方面,FolDE代表了ALDE的重大进步.
  • 该方法增强了高性能蛋白质变体的发现.
  • 作为开源软件提供的FolDE使高效的蛋白质优化实现了民主化.