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A practical kinetic model for efficient isolation of useful antibodies from phage display libraries
To isolate phages displaying a practical and useful antibody with a high k on value and/or a low k off value from phage display antibody libraries, we developed a rational strategy based on a kinetic model. In the model, the recovery of a phage displaying an antibody after a round of biopanning is e...
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Published in: | Journal of molecular catalysis. B, Enzymatic Enzymatic, 2004-06, Vol.28 (4), p.191-200 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | To isolate phages displaying a practical and useful antibody with a high
k
on value and/or a low
k
off value from phage display antibody libraries, we developed a rational strategy based on a kinetic model. In the model, the recovery of a phage displaying an antibody after a round of biopanning is expressed as a function of five parameters, the apparent association rate constant of the phage antibody to the immobilized antigen (
k
on′), the apparent dissociation rate constant of the phage antibody from the immobilized antigen (
k
off′), the effective antigen concentration (
C), the time for the binding process (
t
b) and the time for the washing process (
t
w). An optimum set of operating parameters (
C,
t
b and
t
w) for isolating phages displaying an antibody with a high
k
on value was designed based on the model. Three rounds of biopanning were carried out under the designed conditions, against a phage library in which the hypervariable regions of an original antibody were randomized. All isolated phages displayed an antibody with a higher
k
on value and one displayed an antibody with a 30-fold greater
k
on value than that of the original antibody. Experimental conditions which improve the efficiency of conventional off-rate selections are also described. |
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ISSN: | 1381-1177 1873-3158 |
DOI: | 10.1016/j.molcatb.2004.02.016 |