Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Protein-protein Interfaces02:04

Protein-protein Interfaces

12.5K
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...
12.5K
Protein Networks02:26

Protein Networks

3.9K
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,...
3.9K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

3.7K
3.7K
Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
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...
4.2K
Protein Organization01:24

Protein Organization

6.4K
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....
6.4K
Ligand Binding Sites02:40

Ligand Binding Sites

12.8K
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...
12.8K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

DynMoCo: a Novel AI Framework to Reveal Modular Substructures of Protein From Molecular Dynamics.

bioRxiv : the preprint server for biology·2026
Same author

Nanoscale Mechanical Force Primes NOD1-LRR for Efficient Pathogen Recognition.

The journal of physical chemistry letters·2025
Same author

Sex-specific association between atherogenic index of plasma and risk of newly diagnosed abdominal aortic aneurysm: a large population-based cohort study.

European journal of medical research·2025
Same author

Unperceivable Designs of Wearable Electronics.

Advanced materials (Deerfield Beach, Fla.)·2025
Same author

Single and joint associations of exposure to polycyclic aromatic hydrocarbons with hypertensive disorders of pregnancy: A nested case-control study.

Environmental pollution (Barking, Essex : 1987)·2025
Same author

Decomposition analysis of differences in depressive symptoms between agricultural and non-agricultural workers in China.

BMC public health·2025

相关实验视频

Updated: Jun 23, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

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

Published on: January 26, 2024

1.8K

通过基于结构的深度学习来预测蛋白质-蛋白质相互作用.

Yucong Liu1, Yijun Liu1, Zhenhai Li1

  • 1Shanghai Key Laboratory of Mechanics in Energy Engineering, Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science, Shanghai University, Shanghai, China.

Proteins
|June 26, 2024
PubMed
概括

这项研究介绍了RSPPI,这是一种用于预测蛋白质与蛋白质相互作用 (PPI) 的新型深度学习框架. 通过整合序列和结构数据,RSPPI提高了准确性和概括性,优于现有的AI方法.

科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 人工智能的人工智能

背景情况:

  • 蛋白与蛋白相互作用 (PPI) 对生物过程至关重要.
  • 目前用于PPI预测的AI模型与可变序列长度和有限准确性作斗争.
  • 现有的方法通常仅依赖蛋白质序列或基因本体学数据.

研究的目的:

  • 开发一个新的端到端深度学习框架,用于准确的PPI预测.
  • 解决现有的AI模型在处理多种序列长度和改进概括方面的局限性.
  • 为了利用蛋白质序列的物理化学特性和空间结构信息.

主要方法:

  • 拟议的RSPPI是一个深度学习框架,结合了剩余神经网络 (ResNet) 和空间金字塔聚合 (SPP).
  • ResNet从蛋白质3D结构和初级序列中提取结构和物理化学特征.
  • SPP层将特征地图转换为单个向量,容纳可变序列长度.

主要成果:

  • RSPPI表现出优异的跨物种预测性能.
  • 该模型的性能超过了几种最先进的PPI预测方法.
  • 与仅基于序列或基因本体学的方法相比,在大多数评估指标上取得了优异的结果.
关键词:
跨物种预测的跨物种预测蛋白质蛋白质相互作用剩余神经网络 剩余神经网络空间金字塔的聚合方式.结构特征 结构特征

更多相关视频

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.6K
Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

2.5K

相关实验视频

Last Updated: Jun 23, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

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

Published on: January 26, 2024

1.8K
A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.6K
Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

2.5K

结论:

  • RSPPI为人工智能驱动的PPI预测提供了一种新且有效的策略.
  • 该框架成功地整合了各种数据类型,以提高预测准确度.
  • 为预测蛋白质与蛋白质相互作用的挑战提供了强大的解决方案.