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相关概念视频

Conserved Binding Sites01:49

Conserved Binding Sites

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

Conservation of Protein Domains Over Different Proteins

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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.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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 and Protein Structure02:15

Protein and Protein Structure

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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.
A protein's shape is critical to its function. For example, an enzyme...
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Leaky Scanning02:28

Leaky Scanning

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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
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Protein Organization01:24

Protein Organization

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
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Updated: Sep 13, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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基于安全模型的优化,平衡蛋白质序列设计的探索和可靠性.

Shuuki Takizawa1, Keita Mori2, Naoto Tanishiki2

  • 1Research Division, Chugai Pharmaceutical Co., Ltd, Yokohama, Japan. takizawa.syuki85@chugai-pharm.co.jp.

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概括
此摘要是机器生成的。

蛋白质工程通过基于模型的优化 (MBO) 加速,但模型可能不可靠. 一种新的方法,即平均偏差树结构的帕森估计器 (MD-TPE),通过惩罚不可靠的预测来改善MBO,从而导致更好的蛋白质设计.

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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科学领域:

  • 计算生物学是一种计算生物学.
  • 蛋白质工程是一种蛋白质工程.
  • 机器学习是机器学习.

背景情况:

  • 蛋白质工程旨在发现具有特定功能的蛋白质,这一过程通常受到时间和蛋白质序列空间的广限制.
  • 离线基于模型的优化 (MBO) 使用代理模型来有效地导航这个空间,但这些模型可以预测不可靠的,分布之外的值,从而导致不理想的结果.
  • 当代理模型的预测过于乐观并且与训练数据有显著的偏离时,MBO中的病态行为就会出现.

研究的目的:

  • 开发一种新的优化方法,解决蛋白质工程中现有的MBO方法的局限性.
  • 为了提高蛋白质序列设计中使用的代理模型的可靠性.
  • 为了确保优化解决方案可以在代理模型可以准确预测的区域内找到.

主要方法:

  • 介绍了平均偏差树结构的Parzen估计器 (MD-TPE),这是MBO的新算法.
  • 将高斯过程 (GP) 模型的预测分布偏差集成到目标函数中,以惩罚不可靠的样本.
  • 在GFP数据集上对MD-TPE的评估和抗体亲和力成熟任务.

主要成果:

  • 在GFP数据集上测试时,MD-TPE与标准树结构Parzen估计器 (TPE) 相比,显示了病理样本的减少.
  • 在抗体亲和力成熟任务中,MD-TPE方法成功识别了具有增强结合亲和力的蛋白质突变.
  • 开发的方法通过专注于可靠的预测区域,提供了更安全的优化策略.

结论:

  • 拟议的MD-TPE方法提高了蛋白质工程应用的基于模型的优化安全性和可靠性.
  • 这种方法有效地引导对具有可靠模型预测的区域的搜索,改善功能蛋白质的发现.
  • MD-TPE提供了一种有价值的工具,可以加速设计和优化具有所需功能的蛋白质.