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Generation of Murine Monoclonal Antibodies by Hybridoma Technology
Published on: January 2, 2017
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Technologies for Monoclonal Antibody Discovery and Development
Kyung Ho Han1, Yi-Chuan Li2,3, Rabia Parveen4
1Department of Biological Sciences and Biotechnology, Hannam University, Daejeon 34054, Republic of Korea.
International Journal of Molecular Sciences
|November 13, 2025
Summary
Monoclonal antibody discovery utilizes diverse methods like hybridoma technology and phage display. Innovations in AI and antibody libraries accelerate the development of targeted biotherapeutics for various diseases.
Area of Science:
- Biopharmaceutical development
- Therapeutic antibody engineering
Background:
- Monoclonal antibodies (mAbs) are a successful biopharmaceutical class with over 100 approved therapies.
- Diverse methodologies drive antibody discovery and development for oncological, immunological, and infectious diseases.
Purpose of the Study:
- To review major approaches for antibody discovery and development.
- To highlight innovative strategies accelerating therapeutic outcomes.
Main Methods:
- Hybridoma technology
- Phage display
- Transgenic mouse models
- Single B cell isolation
- De novo antibody design
- Artificial intelligence in antibody design
Main Results:
- Classical and modern techniques generate high-affinity antibodies.
- Functional antibodies can be selected for cellular environments, modulating signaling pathways.
- AI and large databases are transforming computational protein design for antibodies.
Conclusions:
- Multiple innovative strategies exist for antibody discovery and development.
- These approaches aim to expedite the discovery process.
- Enhanced therapeutic outcomes for human diseases are anticipated.
