Martin, ACR;
Rees, AR;
(2016)
Extracting human antibody sequences from public databases for antibody humanization: high frequency of species assignment errors.
Protein Engineering Design and Selection
, 29
(10)
pp. 403-408.
10.1093/protein/gzw018.
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Abstract
In antibody humanization, complementarity determining regions from a 'donor' antibody are often grafted onto a human framework selected by high sequence identity with the donor. In our own humanization experiments, we have found that species information is often incorrect. Here we take three mouse antibodies and perform BLAST searches against sequences annotated as being human. We find that the first genuine human hits for the six chains appear at Positions 30, 4, 11, 24, 18 and 29 in the hit lists. This illustrates both the need for caution in performing humanization and for improvements in annotation.
Type: | Article |
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Title: | Extracting human antibody sequences from public databases for antibody humanization: high frequency of species assignment errors |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1093/protein/gzw018 |
Publisher version: | http://dx.doi.org/10.1093/protein/gzw018 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | annotation errors; database searches; sequence databases |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Structural and Molecular Biology |
URI: | https://discovery.ucl.ac.uk/id/eprint/1496934 |
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