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

3.9K
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,...
3.9K
Hückel's Rule Diagram of π MOs: Frost Circle01:08

Hückel's Rule Diagram of π MOs: Frost Circle

4.4K
The Frost circle or the inscribed polygon method is a graphical method for determining the relative energies of π molecular orbitals (MOs) for planar, fully conjugated, and monocyclic compounds. This method was first described by A. A. Frost and Boris Musulin in 1953.
A Frost circle is constructed by drawing a polygon whose number of edges is equal to the number of carbons of the given cyclic system, with one of the vertices pointing down. Then, a circle is drawn enclosing the polygon so...
4.4K
¹H NMR: Pople Notation01:09

¹H NMR: Pople Notation

1.8K
The Pople nomenclature system classifies spin systems based on the difference between their chemical shifts. Coupled spins are denoted by capital letters with subscripts indicating the number of equivalent nuclei. When the coupled nuclei have well-separated chemical shifts, they are assigned letters that are far apart in the alphabet, such as A and X. When the difference in chemical shifts is small, coupled nuclei are named using adjacent letters of the alphabet (AB, MN, or XY).
A proton...
1.8K
Structural Isomerism02:34

Structural Isomerism

19.2K
Isomerism in Complexes
Isomers are different chemical species that have the same chemical formula. Structural isomerism of coordination compounds can be divided into two subcategories, the linkage isomers and coordination-sphere isomers.
Linkage isomers occur when the coordination compound contains a ligand that can bind to the transition metal center through two different atoms. For example, the CN− ligand can bind through the carbon atom or through the nitrogen atom. Similarly, SCN− can...
19.2K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K
2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

187
Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
187

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

Targeting Autoinducer‑2 Quorum Sensing: Novel Inhibitors Attenuate Virulence in <i>Staphylococcus aureus</i> and <i>Pseudomonas aeruginosa</i>.

ACS omega·2026
Same author

CoRTE: a web-service for constructing temporal networks from genotype-tissue expression data.

Bioinformatics advances·2025
Same author

Ten practical tips and tricks to improve the effectiveness of biological network alignment.

PLoS computational biology·2025
Same author

A computational approach to study age-related modifications of the genes involved in Parkinson's disease.

Computers in biology and medicine·2025
Same author

Multilayer network alignment based on topological assessment via embeddings.

BMC bioinformatics·2023
Same author

Aligning Cross-Species Interactomes for Studying Complex and Chronic Diseases.

Life (Basel, Switzerland)·2023

相关实验视频

Updated: Jun 24, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.1K

PyMulSim:一种通过图形异态网络计算多层网络之间的节点相似性的方法.

Pietro Cinaglia1,2

  • 1Department of Health Sciences, Magna Graecia University, Catanzaro, 88100, Italy. cinaglia@unicz.it.

BMC bioinformatics
|June 13, 2024
PubMed
概括

PyMulSim有效地通过使用图形同态网络 (GIN) 计算不同多层网络的双向节点相似性. 这种新的方法解决了跨网络生物网络分析现有方法的局限性.

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
  • 网络科学 网络科学

背景情况:

  • 生物系统是复杂的,涉及不同质的实体,在多个环境中相互作用,最好的模型是多层网络.
  • 目前的节点相似性的方法主要集中在单个网络内,缺乏对网络对齐等任务至关重要的跨网络比较的能力.
  • 现有的方法在评估其本机网络结构之外的节点方面存在困难,特别是在多层网络环境中.

研究的目的:

  • 介绍pyMulSim,一种新的计算方法,用于计算来自不同多层网络的节点之间的对相似性.
  • 为了实现跨网络分析的应用程序,如推断互动在较少研究的生物网络,基于良好的特征.

主要方法:

  • 使用图形同态网络 (GIN) 来进行多层网络中节点特征的代表性学习.
  • 过程学习了节点嵌入,以计算跨不同网络的节点对之间的相似性得分.

主要成果:

  • 证明了pyMulSim在评估源和目标多层网络中生物对象之间的相似性方面的有效性.
  • 通过不同噪声水平和统计学意义分析的实验验验证的性能.

结论:

  • PyMulSim提供了一种可靠的方法,用于使用基于GIN的嵌入计算跨多层网络节点的相似性.
关键词:
嵌入式 嵌入式多层网络是多层网络.网络对齐 网络对齐网络分析 网络分析节点相似性 节点相似性

更多相关视频

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.0K

相关实验视频

Last Updated: Jun 24, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.1K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.0K
  • 该方法在生物信息学中的比较网络分析中显示出高可靠性和性能.