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</script>Antibody humanization is an essential technology for reducing the potential risk of immunogenicity associated with animal-derived antibodies and has been applied to a majority of the therapeutic antibodies on the market. For developing an antibody molecule as a pharmaceutical at the current biotechnology level, however, other properties also have to be considered in parallel with humanization in antibody generation and optimization. This section describes the critical properties of therapeutic antibodies that should be sufficiently qualified, including immunogenicity, binding affinity, physicochemical stability, expression in host cells and pharmacokinetics, and the basic methodologies of antibody engineering involved. By simultaneously optimizing the antibody molecule in light of these properties, it should prove possible to shorten the research and development period necessary to identify a highly qualified clinical candidate and consequently accelerate the start of the clinical trial.
Protein Stability, Antibody Affinity, Immunoglobulin Variable Region, Antibodies, Monoclonal, Gene Expression, Antibodies, Monoclonal, Humanized, Protein Engineering, Recombinant Proteins, Mice, Antibody Specificity, Mutation, Animals, Humans, Amino Acid Sequence
Protein Stability, Antibody Affinity, Immunoglobulin Variable Region, Antibodies, Monoclonal, Gene Expression, Antibodies, Monoclonal, Humanized, Protein Engineering, Recombinant Proteins, Mice, Antibody Specificity, Mutation, Animals, Humans, Amino Acid Sequence
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 36 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
