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

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
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.5K
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...
12.5K

You might also read

Related Articles

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

Sort by
Same author

Comparative clinical outcomes of suprapatellar intramedullary nailing vs. minimally invasive plate osteosynthesis fixation for distal tibial fractures: a retrospective cohort study.

Frontiers in surgery·2026
Same author

Impact on clinical biomarkers, immune recovery, and HIV reservoir dynamics of switching to EVG/c/FTC/TAF versus maintaining a non-INSTI-based regimen in virologically suppressed individuals.

Infectious diseases & immunity·2026
Same author

Safety Profile of COVID-19 Vaccines in HIV Patients Undergoing ART and Their Impact on Immune Recovery and HIV Reservoirs.

Infectious diseases & immunity·2026
Same author

Predictive Biomarkers for Immune Checkpoint Inhibitor Efficacy: Challenges, Innovations, and a Pathway to Precision Medicine in the Era of Cancer Immunotherapy.

Clinical chemistry·2026
Same author

Multi-omics unravels testis-regulated genetic mechanism of musk secretion in muskrat (Ondatra zibethicus).

BMC genomics·2026
Same author

Preparation of antimicrobial biopolymer particles through co-precipitation of hen egg white lysozyme and poly(hydroxy butyrate).

International journal of biological macromolecules·2026
Same journal

Genetic Impacts on Variability of Body Fat Distribution Uncover Gene-Environment and Gene-Gene Interactions.

bioRxiv : the preprint server for biology·2026
Same journal

16S ribosomal RNA modification drives transcript-specific translation efficiency.

bioRxiv : the preprint server for biology·2026
Same journal

FlcE latches onto the FliL-stator complex to turbocharge flagellar motility in <i>Borrelia burgdorferi</i>.

bioRxiv : the preprint server for biology·2026
Same journal

Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence.

bioRxiv : the preprint server for biology·2026
Same journal

Structural and functional insights into the Rcs phosphorelay.

bioRxiv : the preprint server for biology·2026
Same journal

The structural basis of RanGAP1 regulation and catalysis in nuclear transport.

bioRxiv : the preprint server for biology·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

12.4K

Cmai: Predicting Antigen-Antibody Interactions from Massive Sequencing Data.

Bing Song, Kaiwen Wang, Saiyang Na

    Biorxiv : the Preprint Server for Biology
    |July 15, 2024
    PubMed
    Summary
    This summary is machine-generated.

    We developed Cmai, an AI tool for high-throughput antibody-antigen binding prediction. This tool helps identify biomarkers for immune-checkpoint inhibitor (ICI) treatment response and understand immune-related adverse events (irAEs).

    More Related Videos

    A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
    07:59

    A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

    Published on: March 25, 2014

    14.9K
    Interactome-Seq: A Protocol for Domainome Library Construction, Validation and Selection by Phage Display and Next Generation Sequencing
    12:04

    Interactome-Seq: A Protocol for Domainome Library Construction, Validation and Selection by Phage Display and Next Generation Sequencing

    Published on: October 3, 2018

    8.9K

    Related Experiment Videos

    Last Updated: Jun 21, 2025

    Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
    08:51

    Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

    Published on: March 15, 2019

    12.4K
    A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
    07:59

    A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

    Published on: March 25, 2014

    14.9K
    Interactome-Seq: A Protocol for Domainome Library Construction, Validation and Selection by Phage Display and Next Generation Sequencing
    12:04

    Interactome-Seq: A Protocol for Domainome Library Construction, Validation and Selection by Phage Display and Next Generation Sequencing

    Published on: October 3, 2018

    8.9K

    Area of Science:

    • Immunology
    • Bioinformatics
    • Artificial Intelligence

    Background:

    • Antibody-antigen interactions are crucial for humoral immunity.
    • Current methods for profiling these interactions are limited by cost, time, and throughput.
    • Existing bioinformatics tools focus on antibody optimization, not binding prediction.

    Purpose of the Study:

    • To develop a scalable, high-throughput AI tool for predicting antibody-antigen binding.
    • To create a biomarker metric using AI-predicted binding data for translational applications.
    • To investigate humoral immune responses in immune-related adverse events (irAEs) and cancer immunotherapy.

    Main Methods:

    • Development of an Artificial Intelligence tool named Cmai for antibody-antigen binding prediction.
    • Application of Cmai to high-throughput B cell receptor (BCR) sequencing data.
    • Devised a biomarker metric based on Cmai's output for analyzing immune responses.

    Main Results:

    • Cmai achieved an AUROC of 0.91 in validation.
    • Humoral immunity preferentially targets intracellular antigens during irAEs.
    • Extracellular tumor antigens drive B cell infiltration and co-localization with tumor cells.
    • Abundance of tumor antigen-targeting antibodies predicts response to immune-checkpoint inhibitor (ICI) treatment.

    Conclusions:

    • Cmai offers a scalable solution for high-throughput antibody-antigen binding prediction.
    • The developed biomarker approach provides insights into irAEs and ICI treatment efficacy.
    • This work addresses limitations in current antibody informatics and protein complex prediction tools.