Jove
Visualize
Contact Us
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 Concept Videos

Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

6.4K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
6.4K
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.9K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.9K
Protein Networks02:26

Protein Networks

4.7K
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,...
4.7K
Protein Networks02:26

Protein Networks

3.0K
3.0K
Protein-protein Interfaces02:04

Protein-protein Interfaces

15.0K
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...
15.0K
Overview of Protein Sorting and Transport01:45

Overview of Protein Sorting and Transport

23.6K
Eukaryotic cells have different membrane-bound organelles with distinct protein requirements. The process by which proteins are targeted to a specific organelle is called protein sorting.
Protein sorting can be of two types: signal-based sorting and vesicle-based trafficking. In signal-based sorting, specific amino acid sequences called sorting signals target proteins to the proper location inside the cell either via gated transport or by protein translocation.  In gated transport, folded...
23.6K

You might also read

Related Articles

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

Sort by
Same author

Adaptive parameterized control for line spectrum vibrations using a genetic algorithm-optimized variable forgetting factor.

ISA transactions·2026
Same author

Establishment of an efficient and reliable Agrobacterium-mediated genetic transformation system for the elite male-sterile poplar 'Siyang-1'.

BMC plant biology·2026
Same author

PcabHLH58/PcabHLH151 regulates adventitious root development and nitrogen uptake in poplar.

Nature communications·2026
Same author

Hydrogen production via gasification of corn stover photo-fermentation Residue: Catalytic mechanism of alkali metals.

Bioresource technology·2026
Same author

The temporal transcriptional regulation enhances genomic prediction accuracy for poplar radial growth.

Journal of genetics and genomics = Yi chuan xue bao·2026
Same author

[Numerical simulation study on the influence of free edge configuration on the performance of polymeric heart valves].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

DiffGRN: differential gene regulatory network analysis.

International journal of data mining and bioinformatics·2019
Same journal

Integration of multi-omics data for integrative gene regulatory network inference.

International journal of data mining and bioinformatics·2018
Same journal

The development of non-coding RNA ontology.

International journal of data mining and bioinformatics·2016
Same journal

Learning multiple distributed prototypes of semantic categories for named entity recognition.

International journal of data mining and bioinformatics·2015
Same journal

Weighted fusion regularisation and predicting microbial interactions with vector autoregressive model.

International journal of data mining and bioinformatics·2015
Same journal

Application of consensus string matching in the diagnosis of allelic heterogeneity involving transposition mutation.

International journal of data mining and bioinformatics·2015
See all related articles

Related Experiment Video

Updated: Apr 16, 2026

Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy
11:43

Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy

Published on: May 10, 2014

11.4K

Network based prediction of protein localisation using diffusion kernel.

Ananda Mondal, Jianjun Hu

    International Journal of Data Mining and Bioinformatics
    |March 12, 2015
    PubMed
    Summary
    This summary is machine-generated.

    NetLoc, a new algorithm, accurately predicts protein subcellular localization using protein networks. It demonstrates robustness and high performance even with limited data, outperforming previous methods.

    More Related Videos

    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

    2.7K
    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
    10:20

    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

    Published on: September 5, 2019

    8.9K

    Related Experiment Videos

    Last Updated: Apr 16, 2026

    Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy
    11:43

    Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy

    Published on: May 10, 2014

    11.4K
    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

    2.7K
    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
    10:20

    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

    Published on: September 5, 2019

    8.9K

    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Systems Biology

    Background:

    • Predicting protein subcellular localization is crucial for understanding cellular functions.
    • Protein-protein interaction (PPI) networks offer valuable insights into protein behavior and localization.

    Purpose of the Study:

    • To introduce NetLoc, a novel Kernel-based Logistic Regression (KLR) algorithm for protein subcellular localization prediction.
    • To evaluate NetLoc's performance across various protein network types and assess its robustness.

    Main Methods:

    • Developed NetLoc, a diffusion Kernel-based Logistic Regression (KLR) algorithm.
    • Applied NetLoc to yeast protein localization prediction using physical PPI, genetic PPI, mixed PPI, and co-expression networks.
    • Analyzed the impact of network connectivity and co-localization on prediction performance.

    Main Results:

    • NetLoc achieved a high Area Under Curve (AUC) score of 0.93 for yeast protein localization prediction.
    • Prediction performance improved with networks exhibiting high connectivity and a high percentage of co-localized PPI.
    • NetLoc demonstrated robustness, achieving an AUC of 0.75 with only 30% of interactions and accuracy >0.5 with 20% annotation coverage.
    • NetLoc significantly outperformed previous network-feature-based algorithms (AUC 0.49-0.52) with an AUC of 0.74 on the yeast PPI network.

    Conclusions:

    • Protein networks provide rich information for accurate protein localization prediction.
    • NetLoc is a robust and high-performing algorithm for predicting protein subcellular localization.
    • Network characteristics, such as connectivity and co-localization, significantly influence prediction accuracy.