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Affibody molecules: Engineered proteins for therapeutic, diagnostic and biotechnological applications

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Löfblom, J., Feldwisch, J., Tolmachev, V., Carlsson, J., Ståhl, S., Frejd, F.Y.·2010·FEBS Letters

Abstract

Affibody molecules are a class of engineered affinity proteins with proven potential for therapeutic, diagnostic and biotechnological applications. Affibody molecules are small (6.5 kDa) single domain proteins that can be isolated for high affinity and specificity to any given protein target. Fifteen years after its discovery, the Affibody technology is gaining use in many groups as a tool for creating molecular specificity wherever a small, engineering compatible tool is warranted. Here we summarize recent results using this technology, propose an Affibody nomenclature and give an overview of different HER2‐specific Affibody molecules. Cumulative evidence suggests that the three helical scaffold domain used as basis for these molecules is highly suited to create a molecular affinity handle for vastly different applications.

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Metadata

Authors
Löfblom, J., Feldwisch, J., Tolmachev, V., Carlsson, J., Ståhl, S., & Frejd, F. Y.
Venue
FEBS Letters
Publisher
Wiley
Published
2010-04-11
Volume
584
Issue
12
Pages
2670-2680
ISSN
  • 0014-5793 (ISSN-L)
  • 1873-3468
OpenAlex
W2077787026
Cited by
651
References
0
FWCI
28.93
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Affibody molecules: Engineered proteins for therapeutic, diagnostic and biotechnological applications. https://app.cochat.ai/papers/10.1016/j.febslet.2010.04.014
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Löfblom, J., Feldwisch, J., Tolmachev, V., Carlsson, J., Ståhl, S., & Frejd, F. Y. (2010). Affibody molecules: Engineered proteins for therapeutic, diagnostic and biotechnological applications. FEBS Letters. https://doi.org/10.1016/j.febslet.2010.04.014

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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.