Humanization and simultaneous optimization of monoclonal antibody
Methods in Molecular Biology, ISSN: 1064-3745, Vol: 1060, Page: 123-137
2014
- 18Citations
- 26Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations18
- Citation Indexes18
- 18
- CrossRef12
- Captures26
- Readers26
- 26
Book Chapter Description
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, physiochemical stability, expression in host cells and pharmacokinetics, and the basic methodologies of antibody engineering involved. By simultaneously optimizing the antibody molecule in the 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. © 2014 Springer Science+Business Media, LLC.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84931262849&origin=inward; http://dx.doi.org/10.1007/978-1-62703-586-6_7; http://www.ncbi.nlm.nih.gov/pubmed/24037839; https://link.springer.com/10.1007/978-1-62703-586-6_7; https://dx.doi.org/10.1007/978-1-62703-586-6_7; https://link.springer.com/protocol/10.1007/978-1-62703-586-6_7
Springer Science and Business Media LLC
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