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相关概念视频

Protein-protein Interfaces02:04

Protein-protein Interfaces

14.9K
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...
14.9K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

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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,...
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Protein Networks02:26

Protein Networks

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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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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: Mar 12, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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一个配对序列语言模型用于蛋白质-蛋白质相互作用建模.

Jun Liu1, Hungyu Chen2, Yang Zhang3,4,5

  • 1Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.

Nature communications
|March 11, 2026
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概括

一个新的蛋白质对语言模型 (PPLM) 通过分析配对序列来学习蛋白质-蛋白质相互作用 (PPI). 这种方法推进了PPI预测,结合亲和力和接触预测,优于现有的方法.

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科学领域:

  • 计算生物学是一种计算生物学.
  • 生物信息学是一种生物信息学.
  • 蛋白质的结构和功能.

背景情况:

  • 蛋白与蛋白相互作用 (PPI) 是细胞机制和药物开发的基础.
  • 目前的蛋白质语言模型主要关注单个蛋白质序列,限制它们捕捉相互作用动态的能力.
  • 需要模型,可以有效地从配对的蛋白质序列中学习,以理解PPI.

研究的目的:

  • 引入一种新的蛋白质对语言模型 (PPLM),能够共同编码配对的蛋白质序列.
  • 开发基于PPLM的专门工具 (PPLM-PPI,PPLM-Affinity,PPLM-Contact) 用于预测二进制相互作用,结合亲和关系和接口联系.
  • 为了证明PPLM在各种PPI预测任务中的卓越性能.

主要方法:

  • 开发一种用于联合序列编码的蛋白质对语言模型 (PPLM).
  • 应用PPLM来创建二进制相互作用 (PPLM-PPI),结合亲和力 (PPLM-Affinity) 和接触预测 (PPLM-Contact) 的模型.
  • 对不同物种和复杂的生物系统的大规模数据集进行广泛的实验验证.

主要成果:

  • PPLM-PPI在跨物种的二元蛋白-蛋白相互作用预测方面取得了最先进的结果.
  • 与ESM2和基于结构的方法相比,PLM-Affinity的结合亲和力预测优越,特别是对于抗体-抗原和TCR-pMHC复合体.
  • 在蛋白质间接触预测和接口残留识别方面,PPLM-Contact的表现优于现有的预测指标.

结论:

  • 共同代表的语言模型,如PPLM,为蛋白质-蛋白质相互作用的计算建模提供了一个强大的新范式.
  • 该PPLM框架显著提高了PPI的各个方面的预测准确性,包括相互作用,亲和力和联系.
  • 这项工作为更好地了解细胞过程和通过增强PPI预测加速治疗发现铺平了道路.