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Related Concept Videos

Hybridoma Technology01:31

Hybridoma Technology

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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.
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Antibodies, also known as immunoglobulins (Ig), are essential players of the adaptive immune system. These antigen-binding proteins are produced by B cells and make up 20 percent of the total blood plasma by weight. In mammals, antibodies fall into five different classes, which each elicits a different biological response upon antigen binding.
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Related Experiment Video

Updated: Mar 19, 2026

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

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Computationally driven antibody engineering enables simultaneous humanization and thermostabilization.

Yoonjoo Choi1, Christian Ndong2, Karl E Griswold2,3,4

  • 1Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA.

Protein Engineering, Design & Selection : PEDS
|June 24, 2016
PubMed
Summary
This summary is machine-generated.

Computational antibody redesign using CoDAH improves humanization and thermostability of therapeutic antibodies. This method enhances antibody safety and clinical application while maintaining binding activity.

Keywords:
antibodycetuximabcomputational protein designhumanizationthermostability

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Area of Science:

  • Biotechnology
  • Immunology
  • Computational Biology

Background:

  • Therapeutic antibodies require humanization to reduce immunogenicity.
  • Thermostabilization is crucial for the clinical development and application of antibodies.

Purpose of the Study:

  • To introduce a computational antibody redesign method, Computationally Driven Antibody Humanization (CoDAH).
  • To demonstrate CoDAH's ability to simultaneously achieve antibody humanization and thermostabilization.
  • To evaluate CoDAH's effectiveness on a murine antibody targeting EGFR.

Main Methods:

  • Application of the Computationally Driven Antibody Humanization (CoDAH) method.
  • Redesign of the murine parent antibody of cetuximab (an anti-EGFR antibody).
  • Assessment of humanization levels, thermostability, and binding activity of redesigned antibodies.

Main Results:

  • CoDAH designs showed substantially improved thermostabilities.
  • CoDAH designs exhibited substantially higher levels of humanness.
  • Binding activity of redesigned antibodies was retained near the parental level.

Conclusions:

  • The CoDAH method can simultaneously achieve antibody humanization and thermostabilization.
  • The computational approach effectively captures key determinants of antibody structure and function.
  • CoDAH offers a high-quality, turnkey solution for therapeutic antibody development.