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

MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

7.8K
Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
7.8K
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
Affinity Chromatography01:03

Affinity Chromatography

3.6K
Affinity chromatography is a powerful technique extensively utilized for separating and purifying specific biomolecules from complex mixtures. It capitalizes on the highly selective binding between an analyte and its counterpart, such as antibody-antigen interactions. The counterpart is immobilized on the stationary phase, forming an affinity column. The stationary phase typically consists of solid support, such as agarose or porous glass beads, immobilizing the affinity ligand. The mobile...
3.6K
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

8.8K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
8.8K
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

2.2K
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
2.2K

You might also read

Related Articles

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

Sort by
Same author

DPTG: diffusion policy with tactile feasibility guidance.

Frontiers in robotics and AI·2026
Same author

Hyperbilirubinemia After Redo Valve Surgery: Incidence, Perioperative Risk Factors, and Association with Early Clinical Outcomes.

Journal of cardiovascular development and disease·2026
Same author

[Determination of 16 organic ultraviolet absorbers in drinking water by solid phase extraction-ultra-high performance liquid chromatography-tandem mass spectrometry].

Se pu = Chinese journal of chromatography·2026
Same author

Minimum Data Rate for Consensus of Linear MASs Under Weighted-Average Protocols.

IEEE transactions on cybernetics·2026
Same author

Anlotinib Plus Immune Checkpoint Inhibitors versus Chemotherapy in Elderly Patients with Extensive-Stage Small-Cell Lung Cancer: A Real World, Exploratory Study.

Drug design, development and therapy·2026
Same author

Molecular orchestration of highland barley starch-β-glucan complexes under extrusion thermomechanics: linking hierarchical structure to digestive resistance.

Food research international (Ottawa, Ont.)·2026
Same journal

STED: flexible cross-modal topic modeling infers cell-type-specific regulatory landscapes from bulk epigenomics.

Briefings in bioinformatics·2026
Same journal

A knowledge-guided deep learning framework for quantitative nucleic acid testing.

Briefings in bioinformatics·2026
Same journal

Optimal transport for label transfer in single-cell multi-omics integration.

Briefings in bioinformatics·2026
Same journal

Continuous multi-omics pathway enrichment analysis resolves hidden functional heterogeneity.

Briefings in bioinformatics·2026
Same journal

Evaluating completeness, coherence, and consistency of genome-scale function annotations.

Briefings in bioinformatics·2026
Same journal

Transformers for single-cell RNA sequencing: a survey.

Briefings in bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Apr 21, 2026

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
11:19

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Published on: November 17, 2019

17.3K

Network inference from AP-MS data: computational challenges and solutions.

Ben Teng, Can Zhao, Xiaoqing Liu

    Briefings in Bioinformatics
    |November 8, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This review classifies computational methods for analyzing affinity purification-mass spectrometry (AP-MS) data to infer protein-protein interactions and complexes. It highlights challenges and future research directions in this field.

    Keywords:
    AP-MS dataprotein complexesprotein–protein interactionsvalidation

    More Related Videos

    Mapping Dysfunctional Protein-Protein Interactions in Disease
    09:39

    Mapping Dysfunctional Protein-Protein Interactions in Disease

    Published on: October 24, 2025

    1.1K
    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: Apr 21, 2026

    Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
    11:19

    Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

    Published on: November 17, 2019

    17.3K
    Mapping Dysfunctional Protein-Protein Interactions in Disease
    09:39

    Mapping Dysfunctional Protein-Protein Interactions in Disease

    Published on: October 24, 2025

    1.1K
    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:

    • Proteomics
    • Bioinformatics
    • Computational Biology

    Background:

    • Protein-protein interactions (PPIs) are crucial for understanding protein functions.
    • High-throughput affinity purification-mass spectrometry (AP-MS) generates vast bait-prey datasets.
    • Analyzing AP-MS data computationally presents significant challenges for inferring true interactions and protein complexes.

    Purpose of the Study:

    • To review and classify existing computational methods for analyzing AP-MS data.
    • To identify key approaches for inferring protein-protein interactions from AP-MS experiments.
    • To categorize methods for detecting protein complexes using AP-MS data.

    Main Methods:

    • Systematic review and classification of computational techniques applied to AP-MS data.
    • Analysis of algorithms and strategies for protein-protein interaction inference.
    • Evaluation of methods for protein complex detection from bait-prey information.

    Main Results:

    • Categorization of computational methods based on their underlying algorithms and data utilization.
    • Identification of common challenges in computational analysis of AP-MS data.
    • Overview of the current landscape of tools for PPI and protein complex prediction.

    Conclusions:

    • The review provides a structured overview of computational approaches for AP-MS data analysis.
    • Understanding current methods and challenges is vital for advancing the field.
    • Future research should focus on improving the accuracy and efficiency of computational predictions.