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 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

2.9K
2.9K
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
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

4.6K
4.6K
Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

7.1K
Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
7.1K
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

2.2K
2.2K

You might also read

Related Articles

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

Sort by
Same author

The integration of network pharmacology and multiomics reveals the mechanism by which Malus hupehensis leaves inhibit acute liver injury.

BMC complementary medicine and therapies·2026
Same author

BMI1 activated by ZBTB17 stabilizes SMAD2 to promote chondrocyte anabolism and alleviate osteoarthritis.

Journal of advanced research·2026
Same author

17q12 deletion syndrome presenting with chronic pancreatitis: a case report.

Frontiers in medicine·2026
Same author

An Injectable Photothermal Responsive Liposome Hydrogel Co-Loaded with Bufalin, Apatinib, and IR820 for Inhibiting Postoperative Recurrence of Colon Cancer.

International journal of nanomedicine·2026
Same author

SeOMLR: one-step multi-view latent representation with self-weighted ensemble learning for multi-omics cancer subtyping.

Bioinformatics (Oxford, England)·2026
Same author

Optical control of vortex lattices and magnetostriction in a confined quantum ferrofluid.

Optics letters·2026

Related Experiment Video

Updated: Mar 28, 2026

Dissecting Multi-protein Signaling Complexes by Bimolecular Complementation Affinity Purification BiCAP
06:45

Dissecting Multi-protein Signaling Complexes by Bimolecular Complementation Affinity Purification BiCAP

Published on: June 15, 2018

8.0K

Detecting Protein Complexes from Signed Protein-Protein Interaction Networks.

Le Ou-Yang, Dao-Qing Dai, Xiao-Fei Zhang

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |December 17, 2015
    PubMed
    Summary

    This study introduces a new Signed Graph regularized Nonnegative Matrix Factorization (SGNMF) model for identifying protein complexes. Incorporating interaction "signs" significantly improves accuracy and reveals higher-level cellular organization insights.

    More Related Videos

    Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
    08:38

    Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

    Published on: March 3, 2015

    14.0K
    Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
    09:35

    Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

    Published on: April 1, 2017

    14.7K

    Related Experiment Videos

    Last Updated: Mar 28, 2026

    Dissecting Multi-protein Signaling Complexes by Bimolecular Complementation Affinity Purification BiCAP
    06:45

    Dissecting Multi-protein Signaling Complexes by Bimolecular Complementation Affinity Purification BiCAP

    Published on: June 15, 2018

    8.0K
    Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
    08:38

    Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

    Published on: March 3, 2015

    14.0K
    Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
    09:35

    Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

    Published on: April 1, 2017

    14.7K

    Area of Science:

    • Computational Biology
    • Systems Biology
    • Bioinformatics

    Background:

    • Protein complex identification is crucial for understanding cellular functions.
    • Existing methods analyze protein-protein interaction (PPI) networks but ignore interaction "signs" (activation/inhibition).
    • Considering interaction "signs" can enhance complex identification accuracy and deepen understanding of cellular mechanisms.

    Purpose of the Study:

    • To propose a novel Signed Graph regularized Nonnegative Matrix Factorization (SGNMF) model.
    • To identify protein complexes from signed PPI networks.
    • To explore higher-level cellular organization through predicted signed complex-complex interactions.

    Main Methods:

    • Developed a Signed Graph regularized Nonnegative Matrix Factorization (SGNMF) model.
    • Applied the SGNMF model to signed PPI networks.
    • Compared SGNMF performance against state-of-the-art methods on unsigned PPI networks.

    Main Results:

    • The SGNMF model significantly benefits protein complex detection when using signed PPI networks.
    • Incorporating interaction "signs" leads to more accurate identification of protein complexes.
    • Predicted signed complex-complex interactions offer novel insights into cellular organization.

    Conclusions:

    • Signed PPI networks and the SGNMF model enhance protein complex identification.
    • The approach provides a deeper understanding of cellular functional organization.
    • This method opens new avenues for exploring higher-level cellular architecture.