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Directed evolution of antibody fragments with monovalent femtomolar antigen-binding affinity

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Boder, Eric T., Midelfort, Katarina S., Wittrup, K. Dane·2000·Proceedings of the National Academy of Sciences

Abstract

Single-chain antibody mutants have been evolved in vitro with antigen-binding equilibrium dissociation constant Kd= 48 fM and slower dissociation kinetics (half-time > 5 days) than those for the streptavidin–biotin complex. These mutants possess the highest monovalent ligand-binding affinity yet reported for an engineered protein by over two orders of magnitude. Optimal kinetic screening of randomly mutagenized libraries of 10 5–10 7 yeast surface-displayed antibodies enabled a >1,000-fold decrease in the rate of dissociation after four cycles of affinity mutagenesis and screening. The consensus mutations are generally nonconservative by comparison with naturally occurring mouse Fv sequences and with residues that do not contact the fluorescein antigen in the wild-type complex. The existence of these mutants demonstrates that the antibody Fv architecture is not intrinsically responsible for an antigen-binding affinity ceiling during in vivo affinity maturation.

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Metadata

Authors
Boder, E. T., Midelfort, K. S., & Wittrup, K. D.
Venue
Proceedings of the National Academy of Sciences
Published
2000-09-12
Volume
97
Issue
20
Pages
10701-10705
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2034287217
Cited by
673
References
0
FWCI
24.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Directed evolution of antibody fragments with monovalent femtomolar antigen-binding affinity. https://app.cochat.ai/papers/10.1073/pnas.170297297
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Boder, E. T., Midelfort, K. S., & Wittrup, K. D. (2000). Directed evolution of antibody fragments with monovalent femtomolar antigen-binding affinity. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.170297297

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.