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

Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

10.9K
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...
10.9K
Conservation of Protein Domains02:26

Conservation of Protein Domains

3.1K
3.1K
Protein Families02:47

Protein Families

15.4K
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...
15.4K
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-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

4.0K
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,...
4.0K

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

DAQplugin: Deep Learning based Real-time Model Evaluation Plugin for ChimeraX.

bioRxiv : the preprint server for biology·2026
Same author

Direct Detection and Atomic Modeling of Ligands in Cryo-EM Maps Using Deep Learning.

bioRxiv : the preprint server for biology·2026
Same author

On the state of protein function prediction: a report on the fourth CAFA challenge.

bioRxiv : the preprint server for biology·2026
Same author

MVGFormer: Multi-view perspective with graph-guided transformer for cryo-ET segmentation.

Knowledge-based systems·2026
Same author

Peptide-protein docking: from physics-based models to generative intelligence.

Chemical communications (Cambridge, England)·2026
Same author

Accurate Macromolecular Complex Modeling for Cryo-EM with CryoZeta.

bioRxiv : the preprint server for biology·2026
Same journal

Ciliary flow and morphology shape mass transport at the surface and within gastrovascular cavities of black corals.

Communications biology·2026
Same journal

Virus-mediated prokaryotic community adaptation dynamics under thermal stress in municipal organic solid waste microbiomes.

Communications biology·2026
Same journal

Multi-omics insights into the woolly trait of Saussurea medusa and the plant's coordinated regulation of flavonoid biosynthesis.

Communications biology·2026
Same journal

Loss contexts enhance dorsolateral prefrontal interpersonal neural synchrony during successful human deceptive recommendations.

Communications biology·2026
Same journal

Neuro-regulator role of H<sub>2</sub>S in astrocyte activation and its effects on neurological damage and behavior of VPA-exposed rats.

Communications biology·2026
Same journal

Temporal orchestration of transcriptional and epigenomic programming underlying maternal embryonic diapause in a cricket model.

Communications biology·2026
查看所有相关文章

相关实验视频

Updated: Jul 12, 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

1.9K

域-PFP允许使用功能意识域嵌入表示来预测蛋白质功能.

Nabil Ibtehaz1, Yuki Kagaya2, Daisuke Kihara3,4

  • 1Department of Computer Science, Purdue University, West Lafayette, IN, USA.

Communications biology
|November 1, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种使用蛋白质域嵌入的新方法,用于准确的功能预测. 域-PFP在基因本体学预测任务和竞争性评估中表现优于现有模型.

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

68.7K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.4K

相关实验视频

Last Updated: Jul 12, 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

1.9K
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

68.7K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.4K

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.
  • 结构生物学 结构生物学

背景情况:

  • 蛋白质域是关键的功能和结构单元.
  • 蛋白质域的特征有助于理解蛋白质的功能.
  • 现有的蛋白质功能预测方法有局限性.

研究的目的:

  • 开发一个自我监督的协议,用于创建功能一致的域名表示.
  • 使用这些域嵌入来提高蛋白质功能预测的准确性.
  • 介绍和评估一种新的函数预测方法,Domain-PFP.

主要方法:

  • 采用自我监督的协议来学习域基因本体学 (GO) 共同发生和关联.
  • 基于已知的关联构建域嵌入.
  • 开发Domain-PFP方法用于使用域嵌入的函数预测.

主要成果:

  • 域嵌入对于蛋白质功能预测任务是有效的.
  • 使用域嵌入的蛋白质表示在GO预测中优于大规模的蛋白质语言模型.
  • 域-PFP显著超过了最先进的功能预测器.
  • 在CAFA3评估中,Domain-PFP在CAFA3评估中取得了最佳表现.

结论:

  • 域-GO关联的自我监督学习为蛋白质功能预测提供了强大的表示.
  • 与现有方法相比,Domain-PFP为预测蛋白质功能提供了一种优越的方法.
  • 域嵌入策略代表了功能基因组学生物信息学的重大进步.