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

2.8K
2.8K
Protein Networks02:26

Protein Networks

4.4K
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,...
4.4K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

466
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
466
Protein and Protein Structures02:15

Protein and Protein Structures

18.1K
18.1K
Protein Organization01:24

Protein Organization

9.0K
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....
9.0K
Protein Organization01:13

Protein Organization

155.5K
Overview
155.5K

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

The relationship between the pore architecture of MFI zeolites and isoamylene oligomerization.

Physical chemistry chemical physics : PCCP·2026
Same author

Whole-genome resequencing revealed genetic diversity and the haplotype containing MC1R associated with black coat color in Liangshan sheep.

BMC genomics·2026
Same author

In-plane anomalous Hall effect in a low-dimensional system.

Nature materials·2026
Same author

Homoepitaxial growth of isotopically enriched h<sup>10</sup>BN layers on h<sup>11</sup>BN crystals by high-temperature molecular beam epitaxy.

NPJ 2D materials and applications·2025
Same author

Context-Aware Contrastive Learning for Virtual IHC Staining With Inconsistent Image Pairs.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

Ventral hippocampus and NAc core, but not shell activity is required for well-learned instrumental memory destabilisation.

Behavioural brain research·2025
Same journal

GMSA: A Graph Matching and Point Cloud Registration-Based Method for Spatial Transcriptomics Data Alignment.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Investigations on Multiple Protein Scaffold Filling.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Cell Type Prediction for Single-Cell RNA Sequencing Utilizing Unsupervised Domain Adaptation and Semi-Supervised Learning.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

PPIGAN: Prediction of Protein-Protein Interactions Using Generative Adversarial Networks.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Deep Structure-Enhanced Cell Clustering Model for Single-Cell RNA Sequencing Data.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Asymmetric Drug-Drug Interaction Prediction Based on Generative Adversarial Networks and Knowledge Graph.

Journal of computational biology : a journal of computational molecular cell biology·2026
查看所有相关文章

相关实验视频

Updated: Jan 7, 2026

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

7.6K

学习蛋白质结构表示与定向感知网络.

Jiahan Li1, Shitong Luo2, Congyue Deng3

  • 1Tsinghua University, Beijing, China.

Journal of computational biology : a journal of computational molecular cell biology
|December 30, 2025
PubMed
概括
此摘要是机器生成的。

定向感知图形神经网络 (OA-GNN) 通过捕获详细的几何特征来改善蛋白质结构分析. 这种深度学习方法增强了计算生物学任务,促进了蛋白质的理解和应用.

关键词:
几何学习学习几何学习蛋白质蛋白质是蛋白质蛋白质的组成部分.代表性学习学习学习结构生物学结构生物学

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

69.6K
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.7K

相关实验视频

Last Updated: Jan 7, 2026

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

7.6K
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

69.6K
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.7K

科学领域:

  • 计算生物学 计算生物学
  • 深度学习 (Deep Learning) 是一种深度学习.
  • 结构生物信息学 结构生物信息学

背景情况:

  • 蛋白质的3D结构决定了生物功能.
  • 准确地表示氨基酸方向对于理解蛋白质机制至关重要.
  • 现有的方法难以捕捉蛋白质结构中的细粒度几何细节.

研究的目的:

  • 引入定向感知图神经网络 (OA-GNN) 进行增强的蛋白质结构分析.
  • 显式建模本地和全球几何特征,包括扭转角度和间残留方向.
  • 通过结合详细的几何信息来改进计算蛋白质分析.

主要方法:

  • 开发了OA-GNNs,这是一个新的深度学习框架.
  • 扩展神经网络重量到3D定向重量.
  • 实现了一个同等变量消息传递范式,确保在几何处理中实现SO(3)-同等变量.

主要成果:

  • 在感知定向特征方面,OA-GNN显著优于现有方法.
  • 在残留物识别,蛋白质设计,模型质量评估和功能分类方面取得了最先进的性能.
  • 证明了蛋白质结构数据的高级几何特征提取.

结论:

  • OA-GNNs为计算蛋白质分析提供了一个强大而通用的工具.
  • 强调结构生物信息学中定向意识学习的有效性.
  • 推进对蛋白质结构-功能关系的理解,用于治疗和生物技术应用.