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相关概念视频

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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Ligand Binding Sites02:40

Ligand Binding Sites

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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 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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Ligand Binding and Linkage00:49

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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...
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Ligand Binding and Linkage00:49

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相关实验视频

Updated: Jan 7, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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结构意识的异质信息融合框架用于蛋白质 - 连接物结合亲和力预测.

Yan Zhu1,2, Chunyu Wang1, Junjie Wang3

  • 1Faculty of Computing, Harbin Institute of Technology, Harbin 150001, China.

Journal of chemical information and modeling
|December 24, 2025
PubMed
概括

预测蛋白质 - 配体结合亲缘关系 (PLA) 对药物发现至关重要. 我们的GIF-PLA方法通过融合图形,序列和结构数据来提高预测准确性,优于现有的方法.

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科学领域:

  • 计算生物学 计算生物学
  • 药物发现 药物发现 药物发现
  • 生物信息学是一种生物信息学.

背景情况:

  • 准确预测蛋白质 - 连接体结合亲和性 (PLA) 对有效的药物发现和开发至关重要.
  • 当前的方法往往忽视了异质图形增强和多式数据集成 (序列和结构) 的好处.

研究的目的:

  • 开发一种新的多式联络数据融合方法,GIF-PLA,用于增强蛋白质-联络体结合亲和力预测.
  • 通过结合来自不同数据模式的互补信息来提高预测模型的概括性和稳定性.

主要方法:

  • 代表蛋白质 - 连接体复合体作为具有元路径的异质图.
  • 使用级联深度神经网络并行处理图形,蛋白质序列和配体SMILES字符串数据.
  • 采用晚期聚变模块来整合多层次信息进行最终预测.

主要成果:

  • 在基准数据集上,GIF-PLA实现了0.784的皮尔森相关系数 (Rp) 和1.157的根平均平方误差 (RMSE).
  • 与最先进的方法相比,证明了卓越的性能.
  • 废弃研究证实了元路径和多式联的显著贡献.

结论:

  • GIF-PLA有效地捕获以结构为导向和以序列为导向的信息,用于准确的PLA预测.
  • 拟议的方法显示了显著的希望,以提高蛋白质-连接体相互作用预测的可靠性.
  • 多模式数据融合和元路径增强对于提高PLA预测准确性至关重要.