Jove
Visualize
Contact Us

Related Concept Videos

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

409
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
409
SNAREs and Membrane Fusion01:43

SNAREs and Membrane Fusion

13.4K
Once a transport vesicle has recognized its target organelle, the vesicular membrane needs to fuse with the target membrane to unload the cargo. Transmembrane proteins called SNAREs present on organelle membranes and their vesicles, mediate vesicle fusion.
SNAREs exist in pairs that symmetrically interact and catalyze the fusion of the lipid bilayers in vesicle and target organelle. v-SNARE in the vesicle membrane are single polypeptide chains that bind to a complementary t-SNARE, composed of 2...
13.4K
The Midpoint Formula01:24

The Midpoint Formula

6.9K
In coordinate geometry, determining the central point between two locations is common. This central point, or midpoint, lies exactly halfway along the line segment connecting two points in a two-dimensional space. It has applications in mathematics, physics, engineering, and various planning disciplines.Given two points labeled as A (x1, y1) and B (x2, y2) on a coordinate plane, a straight line segment can be plotted between them. The midpoint, labeled point M, divides this segment into two...
6.9K
Anchoring Junctions01:03

Anchoring Junctions

5.6K
Anchoring junctions are multiprotein complexes that help cells connect to other cells and the extracellular matrix. Anchoring junctions are present on the lateral and basal surfaces of cells, providing strong and flexible connections. Focal adhesions are often formed due to cell interactions with the ECM substrata, which initiate signal transduction via kinase cascades and other mechanisms. Together, they provide stability and tissue integrity. There are three types of anchoring junctions:...
5.6K
Multimachine Stability01:25

Multimachine Stability

623
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
623
Tagging and Fusion Proteins01:24

Tagging and Fusion Proteins

8.7K
Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
8.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
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

Combining graphlets and random walks for capturing complex network topology.

Scientific reports·2026
Same author

MONFIT: multi-omics factorization-based integration of time-series data sheds light on Parkinson's disease.

NAR molecular medicine·2025
Same author

deepNGS navigator: exploring antibody NGS datasets using deep contrastive learning.

Bioinformatics (Oxford, England)·2025
Same author

Tokenized and continuous embedding compressions of protein sequence and structure.

Patterns (New York, N.Y.)·2025
Same author

Biological databases in the age of generative artificial intelligence.

Bioinformatics advances·2025
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Mar 28, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.8K

Fuse: multiple network alignment via data fusion.

Vladimir Gligorijević1, Noël Malod-Dognin1, Nataša Pržulj1

  • 1Department of Computing, Imperial College London, London SW7 2AZ, UK.

Bioinformatics (Oxford, England)
|December 16, 2015
PubMed
Summary

Fuse, a novel multiple network alignment algorithm, enhances biological discovery by integrating protein-protein interaction (PPI) network data and sequence similarities. This approach yields more biologically relevant alignments than existing methods.

More Related Videos

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing
09:49

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing

Published on: July 5, 2019

10.1K
Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM
08:43

Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM

Published on: June 24, 2017

7.9K

Related Experiment Videos

Last Updated: Mar 28, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.8K
Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing
09:49

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing

Published on: July 5, 2019

10.1K
Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM
08:43

Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM

Published on: June 24, 2017

7.9K

Area of Science:

  • Systems Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Discovering patterns in protein-protein interaction (PPI) networks is crucial for understanding biological systems.
  • Multiple network alignment aids in identifying conserved pathways and functional orthologs.
  • Existing alignment methods struggle with scalability and biological relevance due to reliance on pairwise scores.

Purpose of the Study:

  • To develop a scalable and biologically relevant multiple network alignment algorithm.
  • To improve the accuracy of identifying evolutionarily and functionally conserved protein clusters across multiple PPI networks.

Main Methods:

  • Proposed Fuse, a two-step multiple network alignment algorithm.
  • Computed novel protein functional similarity scores by fusing PPI network wiring patterns and sequence similarities using Non-negative Matrix Tri-Factorization (NMTF).
  • Employed a maximum weight k-partite matching approximation algorithm to identify aligned protein clusters.

Main Results:

  • NMTF successfully predicted biologically consistent protein pairs across PPI networks.
  • Fuse, using only sequence alignment scores, outperformed existing aligners in generating biologically consistent clusters.
  • Combining sequence alignments with NMTF-predicted scores achieved state-of-the-art multiple network alignments.

Conclusions:

  • Fuse offers a significant advancement in multiple network alignment.
  • The algorithm's ability to integrate diverse data sources enhances biological interpretation.
  • Fuse provides a scalable and effective tool for systems biology research.