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

10.8K
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...
10.8K
Protein Organization01:24

Protein Organization

6.2K
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....
6.2K
Protein and Protein Structure02:15

Protein and Protein Structure

78.3K
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...
78.3K
Structural Protein Function01:56

Structural Protein Function

2.7K
2.7K
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 and Protein Structures02:15

Protein and Protein Structures

10.3K
10.3K

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

FluNexus: A versatile web platform for antigenic prediction and visualization of influenza A viruses.

iMeta·2026
Same author

Mosaic integration of spatial multi-omics with SpaMosaic.

Nature genetics·2026
Same author

Artificial Intelligence Powers Protein Functional Annotation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

NanoLoop: A Deep Learning Framework Leveraging Nanopore Sequencing for Chromatin Loop Prediction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

scHLens: a web server for hierarchically and interactively exploring single cell RNA-seq data.

Briefings in bioinformatics·2025
Same author

Subgraph Neural Networks Enhanced by Global Similarity for Drug Repositioning.

Interdisciplinary sciences, computational life sciences·2025
Same journal

Sub1 contributes to heart failure with preserved ejection fraction driven by aging in mice.

Nature communications·2026
Same journal

The BRCA1-A complex restricts replication fork reversal-dependent DNA repair in ATM deficient cells.

Nature communications·2026
Same journal

Signaling downstream of tumor-stroma interaction regulates mucinous colorectal adenocarcinoma apicobasal polarity.

Nature communications·2026
Same journal

Click-polymerized polyenamine membranes for efficient lithium extraction.

Nature communications·2026
Same journal

Joint trajectories of brain atrophy, white matter hyperintensities and cognition quantify brain maintenance.

Nature communications·2026
Same journal

Proton shuttling at electrochemical interfaces under alkaline hydrogen evolution.

Nature communications·2026
查看所有相关文章

相关实验视频

Updated: Jun 4, 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

68.5K

DPFunc:通过深度学习准确预测蛋白质功能,并使用域导向结构信息.

Wenkang Wang1, Yunyan Shuai1, Min Zeng1

  • 1School of Computer Science and Engineering, Central South University, Changsha, 410083, China.

Nature communications
|January 2, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了DPFunc,这是一种使用结构域信息进行蛋白质功能预测的深度学习方法. 这种方法提高了可解释性,并且在确定关键功能区域方面优于现有的方法.

更多相关视频

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

2.3K
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

1.7K

相关实验视频

Last Updated: Jun 4, 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

68.5K
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

2.3K
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

1.7K

科学领域:

  • 计算生物学是一种计算生物学.
  • 结构生物信息学 结构生物信息学
  • 生物学的深度学习应用.

背景情况:

  • 蛋白质功能预测对于理解生物机制和疾病至关重要.
  • 当前的计算方法往往缺乏可解释性,阻碍了对结构-功能关系的理解.
  • 准确的蛋白质功能预测对于药物发现和生物研究至关重要.

研究的目的:

  • 为准确的蛋白质功能预测开发一个可解释的深度学习模型.
  • 整合域导向结构信息,以增强预测能力.
  • 提高对蛋白质结构如何与功能相关的理解.

主要方法:

  • 一个新的深度学习框架DPFunc被设计用于蛋白质功能预测.
  • DPFunc使用域信息来指导蛋白质结构的分析.
  • 该方法识别了蛋白质结构中的重要区域和关键残留物.

主要成果:

  • 在蛋白质功能预测方面,DPFunc实现了最先进的性能.
  • 该模型显示了与现有的基于结构的方法相比的显著改进.
  • 域指导使DPFunc能够准确地确定功能区域和残留物.

结论:

  • DPFunc提供了一个可解释和有效的工具,用于大规模的蛋白质功能预测.
  • 域信息的整合提高了预测的准确性和生物相关性.
  • 这项工作促进了对蛋白质结构功能关系的理解,并有助于生物学发现.