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Cited by 239

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Engineered turns of a recombinant antibody improve its in vivo folding

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Knappik, Achim, Plückthun, Andreas·1995·"Protein Engineering, Design and Selection"

Abstract

Using recombinant antibodies functionally expressed by secretion to the periplasm in Escherichia coli as a model system, we identified mutations located in turns of the protein which reduce the formation of aggregates during in vivo folding or which influence cell stability during expression. Unexpectedly, the two effects are based on different mutations and could be separated, but both mutations act synergistically in vivo. Neither mutation increases the thermodynamic stability in vitro. However, the in vivo folding mutation correlates with the yield of oxidative folding in vitro, which is limited by the side reaction of aggregation. The in vivo folding data also correlate with the rate and activation entropy of thermally induced aggregation. This analysis shows that it is possible to engineer improved frameworks for semi-synthetic antibody libraries which may be important in maintaining library diversity. Moreover, limitations in recombinant protein expression can be overcome by single amino acid substitutions.

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Metadata

Authors
Knappik, A., & Plückthun, A.
Venue
"Protein Engineering, Design and Selection"
Published
1995
Volume
8
Issue
1
Pages
81-89
ISSN
  • 0269-2139 (ISSN-L)
  • 1741-0126
  • 1741-0134
OpenAlex
W1997830689
Cited by
239
References
0
FWCI
8.53
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Engineered turns of a recombinant antibody improve its in vivo folding. https://app.cochat.ai/papers/10.1093/protein/8.1.81
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Knappik, A., & Plückthun, A. (1995). Engineered turns of a recombinant antibody improve its in vivo folding. "Protein Engineering, Design and Selection". https://doi.org/10.1093/protein/8.1.81

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.