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

13.2K
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
Conserved Binding Sites01:49

Conserved Binding Sites

4.4K
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...
4.4K
Protein Networks02:26

Protein Networks

4.1K
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
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....
7.0K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

11.4K
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...
11.4K
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

2.6K
Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...
2.6K

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

CondFoodGen: A Conditional Two-Stream Network for Controllable Food Image Generation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Bibliometric Analysis of White Matter Disease and Novel Drug Therapy.

Current neuropharmacology·2026
Same author

Unsupervised feature selection via anomaly-aware fuzzy graph fusion and diffusion multi-centroid learning.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

A comparative study of vision-language models for food ingredient recognition and nutrient estimation.

Current research in food science·2026
Same author

Targeting lactylation in a novel metabolic-epigenetic-inflammatory axis mitigates inflammation and promotes healing following corneal injury.

Journal of translational medicine·2026
Same author

Automated diagnostic of cervical spondylosis on multimodal medical images with a multi-task deep learning model.

Nature communications·2026
Same journal

A Multi-Modal Framework for Phage-Host Interaction Prediction Using Multi-View Contrastive Learning.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Decoding Gene-Disease Associations with Computational Methods: A Survey.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

A Competitive Coevolution-based Cancer Driver Pathway Identification Algorithm for Maximizing Coverage, Mutual Exclusivity, and Subnet Importance.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Prediction of GO Terms Based on Partitioning PPI Networks into Highly Connected Components.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Modeling and Tracking of Heterogeneous Cell Populations via Open Multi-Agent Systems.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Parameter Efficient Deep Learning Models for Multi-Target Binding Affinity and hERG Cardiotoxicity Prediction.

IEEE transactions on computational biology and bioinformatics·2026
查看所有相关文章

相关实验视频

Updated: Sep 11, 2025

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

68.9K

SSC-PPI:一种基于子空间结构一致性的方法,用于蛋白质-蛋白质相互作用的预测.

Ziping Ma, Weiqing Min, Huanpu Zhang

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究引入了一种子空间结构一致性 (SSC-PPI) 方法,用于预测蛋白质-蛋白质相互作用. 通过保持特征和数据空间的一致性,SSC-PPI提高了准确性,优于现有模型.

    更多相关视频

    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

    2.0K
    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
    07:08

    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

    Published on: July 14, 2015

    7.4K

    相关实验视频

    Last Updated: Sep 11, 2025

    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

    68.9K
    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

    2.0K
    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
    07:08

    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

    Published on: July 14, 2015

    7.4K

    科学领域:

    • 生物信息学是一种生物信息学.
    • 计算生物学 计算生物学
    • 结构生物学 结构生物学

    背景情况:

    • 蛋白与蛋白相互作用 (PPI) 对于理解生物机制和药物作用至关重要.
    • 目前用于PPI预测的方法与特征一致性和特征间关系存在困难.

    研究的目的:

    • 提出一种新的方法,即蛋白质-蛋白质相互作用的子空间结构一致性 (SSC-PPI),用于准确的PPI预测.
    • 解决现有的PPI预测模型在特征一致性和互连信息方面的局限性.

    主要方法:

    • 开发了SSC-PPI,一种专注于子空间结构一致性的方法.
    • 研究了编码特征之间的连贯关系 (氨基酸组成,联合三数值组成,F向量,组成和过渡描述符).
    • 确保特征子空间和数据空间之间的几何结构一致性.

    主要成果:

    • 实现了高的预测准确度:100% (H. pylori,人类-B. 人类,人类-Y. 瘟疫),99.95% (人类) 和99.98% (类植物).
    • 显著优于比较模型,在各种数据集上平均准确度增加了12.96%,5.50%,7.38%,6.23%和9.37%.
    • 证明了该模型的优秀预测性能.

    结论:

    • SSC-PPI为PPI预测提供了一个高效可靠的框架.
    • 该方法有效地保持了结构的一致性,从而达到更高的预测准确度.
    • 在药物与药物和药物与食物相互作用预测方面提供了大规模应用的潜力.