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

Hybridoma Technology01:31

Hybridoma Technology

14.1K
Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
Hybridoma Selection
Commonly used fusion techniques — electroporation,...
14.1K

You might also read

Related Articles

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

Sort by
Same author

Discovery of Novel Isoxazole-Based FXR Agonists Containing a 1,2,4-Oxadiazol-5(4H)-one Ring.

Journal of medicinal chemistry·2026
Same authorSame journal

Structural basis for dual targeting of μ-opioid and nociceptin/orphanin FQ receptors by Cebranopadol.

Acta pharmacologica Sinica·2026
Same author

Structural basis for lysophosphatidic acid recognition and atypical Gα<sub>q</sub> coupling by LPAR5.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

A first-in-class pulsatile FXR agonist for bile-acid-related liver diseases.

Nature·2026
Same author

Structural basis for a central permeation pathway in the P2X1 receptor.

Cell discovery·2026
Same author

Molecular architecture of OXGR1 reveals an evolutionary conserved mechanisms for metabolite surveillance.

The EMBO journal·2026

Related Experiment Video

Updated: Jun 11, 2025

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries
12:55

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries

Published on: January 17, 2015

18.5K

AI-driven antibody design with generative diffusion models: current insights and future directions.

Xin-Heng He1,2, Jun-Rui Li1, James Xu3

  • 1State Key Laboratory of Drug Research and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.

Acta Pharmacologica Sinica
|September 30, 2024
PubMed
Summary
This summary is machine-generated.

Generative diffusion models accelerate therapeutic antibody design, reducing costs and time. This review explores AI-driven methods for de novo antibody creation and complementarity-determining region (CDR) optimization.

Keywords:
CDR optimizationantibodiesde novo antibody designdiffusiongenerative modelmodel evaluation

More Related Videos

Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood
13:14

Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood

Published on: February 6, 2018

10.3K
Construction of Synthetic Phage Displayed Fab Library with Tailored Diversity
12:31

Construction of Synthetic Phage Displayed Fab Library with Tailored Diversity

Published on: May 1, 2018

13.6K

Related Experiment Videos

Last Updated: Jun 11, 2025

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries
12:55

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries

Published on: January 17, 2015

18.5K
Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood
13:14

Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood

Published on: February 6, 2018

10.3K
Construction of Synthetic Phage Displayed Fab Library with Tailored Diversity
12:31

Construction of Synthetic Phage Displayed Fab Library with Tailored Diversity

Published on: May 1, 2018

13.6K

Area of Science:

  • Biotherapeutics and Drug Discovery
  • Computational Biology and Bioinformatics
  • Artificial Intelligence in Medicine

Background:

  • Therapeutic antibodies are crucial biotherapeutics known for high specificity and affinity.
  • Optimizing antibody efficacy faces significant financial and time constraints.
  • Computational and artificial intelligence (AI) methods offer new solutions for antibody design challenges.

Purpose of the Study:

  • To review diffusion-based generative methodologies for antibody design.
  • To explore applications in de novo antibody design and CDR loop optimization.
  • To provide a comprehensive resource for utilizing generative models in antibody engineering.

Main Methods:

  • Review of diffusion-based generative models applied to antibody design.
  • Analysis of methodologies for de novo antibody generation.
  • Examination of techniques for complementarity-determining region (CDR) loop optimization.

Main Results:

  • Diffusion models present novel approaches for antibody design challenges.
  • Specific methodologies are detailed for de novo design and CDR optimization.
  • Evaluation metrics for assessing AI-generated antibody designs are discussed.

Conclusions:

  • Generative diffusion models are transforming antibody design processes.
  • These AI tools offer potential for faster, more cost-effective antibody optimization.
  • The field is rapidly advancing, requiring comprehensive overviews for researchers.