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相关概念视频

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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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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Protein-Protein Interfaces

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Conservation of Protein Domains02:26

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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 Complex Assembly02:41

Protein Complex Assembly

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Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
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Updated: Jun 19, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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对于蛋白质序列设计的文本感知几何深度学习.

Lucien F Krapp1,2, Fernando A Meireles1,2, Luciano A Abriata1,2

  • 1Laboratory for Biomolecular Modeling, Institute of Bioengineering, School of Life Sciences, Ecole Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Nature communications
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PubMed
概括
此摘要是机器生成的。

深度学习现在使用几何变压器预测蛋白质序列,考虑分子环境. 这促进了蛋白质的设计,以创建具有增强稳定性和活性的酶.

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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.
  • 深度学习应用程序深度学习应用程序

背景情况:

  • 蛋白质的设计和工程正在迅速推进深度学习.
  • 现有的模型很难将非蛋白质分子纳入设计过程.
  • 需要蛋白质设计工具来考虑不同的分子环境.

研究的目的:

  • 引入一种用于蛋白质序列预测的新型深度学习方法.
  • 为了使蛋白质设计能够考虑非蛋白质分子环境的限制.
  • 为了提高蛋白质工程管道的多功能性.

主要方法:

  • 一种使用几何变压器的深度学习方法.
  • 输入仅基于原子坐标和元素名称.
  • 在特定的分子环境中,从骨干支架中预测蛋白质序列.

主要成果:

  • 该方法成功地预测了脊柱支架中的蛋白质序列.
  • 生成的酶表现出高的热稳定性和催化活性.
  • 在生产功能性酶方面取得了高的成功率.

结论:

  • 开发的深度学习方法有效地设计了蛋白质序列.
  • 该方法考虑分子环境的能力扩大了蛋白质设计能力.
  • 预计这种方法将大大改善具有所需功能的蛋白质的产生.