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 Networks02:26

Protein Networks

2.4K
2.4K
Protein-protein Interfaces02:04

Protein-protein Interfaces

13.3K
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...
13.3K
Protein and Protein Structure02:15

Protein and Protein Structure

81.4K
Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
81.4K
Protein and Protein Structures02:15

Protein and Protein Structures

10.8K
10.8K
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
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

19.3K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
19.3K

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

Microglia suppress Müller cell FGF1 and contribute to retinal ganglion cell degeneration in glaucoma.

Experimental eye research·2026
Same author

DNA-Regulated Catalytic-Plasmonic Colocalization Enables Synergistic Signal Amplification in SERS and Nanozyme-Based Sensors.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

A programmable multi-stage microfluidic platform with micro-dam prefiltration and micro-nano hierarchical filter for synergetic capture of CTCs and SERS-based phenotype analysis.

Biosensors & bioelectronics·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

PhenoRareAI: Phenotype-based intelligent diagnosis for rare neuromuscular disorders of glycogen storage disease and spinal muscular atrophy.

Health information science and systems·2026
Same author

NPRL2 restricts porcine reproductive and respiratory syndrome virus replication by targeting viral Nsp1α for autophagic degradation.

Veterinary research·2026

相关实验视频

Updated: Sep 13, 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

NetGO 3.0:基于蛋白质语言模型的最新蛋白质功能预测工具

Shaojun Wang1, Hancheng Liu1, Ronghui You2

  • 1Institute of Science and Technology for Brain-Inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.

Methods in molecular biology (Clifton, N.J.)
|July 29, 2025
PubMed
概括

我们开发了NetGO 3.0,使用蛋白质语言模型进行自动化蛋白质功能预测的计算框架. 该工具提高了准确性,并为蛋白质序列分析提供了一个用户友好的在线平台.

关键词:
基因本体学是基因的本体学.净GO 3.0 在线服务蛋白质功能的预测和预测蛋白质语言模型的模型

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
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

2.9K

相关实验视频

Last Updated: Sep 13, 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
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

2.9K

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
  • 蛋白质组学是指蛋白质组学.

背景情况:

  • 蛋白质的自动功能预测 (AFP) 是生物信息学中的一个关键挑战.
  • 准确的蛋白质功能注释对于理解生物过程和疾病机制至关重要.

研究的目的:

  • 开发一个先进的计算框架,用于准确的自动化蛋白质功能预测.
  • 创建一个可访问的在线平台,让研究人员可以使用预测工具.

主要方法:

  • 使用蛋白质语言模型作为计算框架的核心.
  • 集成的多元组件方法来提高预测性能.
  • 开发了一个用户友好的Web服务器,用于序列提交和结果检索.

主要成果:

  • 拟议的框架显示了预测性能的显著改善.
  • NetGO 3.0为蛋白质提供了准确的功能预测.
  • 一个实用的例子突出了NetGO 3.0.0的卓越性能.

结论:

  • NetGO 3.0提供了一种强大而准确的解决方案,用于自动化蛋白质功能预测.
  • 开发的在线平台可轻松访问先进的蛋白质注释工具.
  • 这一框架在促进生物研究中的蛋白质功能注释方面具有巨大的潜力.