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Updated: Jul 10, 2026

Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood
Published on: February 6, 2018
Humanization of antibodies
Juan C Almagro1, Johan Fransson
1Centocor R and D, Inc. 145 King of Prussia Rd. Radnor, PA 19087, USA. jalmagro@cntus.jnj.com
Humanization has played a fundamental role in the remarkable progress of antibodies as therapeutic reagents. Here we have reviewed the publications on antibody humanization since the first report on CDR grafting in the second half of the 1980's up to June 2007. We describe the two main trends in the field: rational and empirical methods to humanize antibodies. Rational methods rely on the so-called design cycle. It consists of generating a small set of variants, which are designed based on the antibody structure and/or sequence information, and assessing their binding or any other characteristic of interest. Rational methods include CDR grafting, Resurfacing, Superhumanization and Human String Content Optimization. In contrast to rational methods, empirical methods are based on generating large combinatorial libraries and selecting the desired variants by enrichment technologies such as phage, ribosome or yeast display, or by high throughput screening techniques. The latter methods rest on selection rather than making assumptions on the impact of mutations on the antibody structure. These methods include Framework Libraries, Guided Selection, Framework Shuffling and Humaneering.
Humanization has played a fundamental role in the remarkable progress of antibodies as therapeutic reagents. Here we have reviewed the publications on antibody humanization since the first report on CDR grafting in the second half of the 1980's up to June 2007. We describe the two main trends in the field: rational and empirical methods to humanize antibodies. Rational methods rely on the so-called design cycle. It consists of generating a small set of variants, which are designed based on the antibody structure and/or sequence information, and assessing their binding or any other characteristic of interest. Rational methods include CDR grafting, Resurfacing, Superhumanization and Human String Content Optimization. In contrast to rational methods, empirical methods are based on generating large combinatorial libraries and selecting the desired variants by enrichment technologies such as phage, ribosome or yeast display, or by high throughput screening techniques. The latter methods rest on selection rather than making assumptions on the impact of mutations on the antibody structure. These methods include Framework Libraries, Guided Selection, Framework Shuffling and Humaneering.
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