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相关概念视频

Protein Organization01:24

Protein Organization

7.0K
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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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...
13.2K
Protein Families02:47

Protein Families

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Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key...
15.7K
Protein Networks02:26

Protein Networks

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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.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.1K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.9K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
4.9K
Ligand Binding Sites02:40

Ligand Binding Sites

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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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相关实验视频

Updated: Sep 10, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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基于蛋白质语言模型和结构模型的双目标蛋白质序列设计方法

Liu Cheng1, Ting Wei1, Xiaochen Cui2

  • 1Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.

Briefings in bioinformatics
|August 26, 2025
PubMed
概括

设计蛋白质以结合两个点对于新疗法至关重要. 一种新的人工智能方法,即蛋白质双目标设计网络 (ProDualNet),成功地设计了双目标蛋白质,性能优于现有的方法.

关键词:
双目标蛋白序列设计蛋白质序列设计基于结构的蛋白质序列设计

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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科学领域:

  • 计算生物学
  • 蛋白质工程
  • 生物信息学

背景情况:

  • 与多个合作伙伴相互作用的蛋白质是生物调节的关键.
  • 多目标类药物具有前景,需要多目标蛋白质设计策略.
  • 目前的蛋白质设计方法主要集中在单受体相互作用上,限制了双目标设计能力.

研究的目的:

  • 介绍ProDualNet,一种基于结构的新计算方法,用于设计与两个不同的受体结合的蛋白序列.
  • 解决对双目标蛋白质结构的有限实验数据的挑战.

主要方法:

  • ProDualNet使用异质图形网络进行预训练.
  • 该模型使用噪声增强单目标数据和真实双目标数据的组合进行了微调.
  • 它整合了两个目标受体的序列和结构信息.

主要成果:

  • 与现有的多状态设计方法相比,ProDualNet在各种测试集中表现出优异的恢复和成功率.
  • 在基评估中显示了设计双蛋白的潜力,包括具有全结合和非重叠接口的情况.
  • 该方法有效地克服了稀缺的双蛋白结构数据所带来的局限性.

结论:

  • ProDualNet代表了多目标应用的计算蛋白质设计的重大进步.
  • 开发的方法有望加速新型治疗蛋白质和生物制剂的设计.
  • 代码和数据的可用性促进了蛋白质工程的进一步研究和应用.