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Spider Silk: From Soluble Protein to Extraordinary Fiber

Heim, Markus, Keerl, David, Scheibel, Thomas·2009·Angewandte Chemie International Edition

Abstract

On a silky thread: Spider silks have mechanical properties that outperform most natural and synthetic fibers. Classical spinning methods have failed to mimic the highly complex natural in‐vivo spinning process. Analyzing this process in combination with in‐vitro findings allows the development of biomimetic spinning devices for the technical production of silk fibers (see picture).magnified image Spider silks outrival natural and many synthetic fibers in terms of their material characteristics. In nature, the formation of a solid fiber from soluble spider silk proteins is the result of complex biochemical and physical processes that take place within specialized spinning organs. Herein, we present natural and artificial silk production processes, from gene transcription to silk protein processing and finally fiber assembly. In‐vivo and in‐vitro findings in the field of spider silk research are the basis for the design of new proteins and processing strategies, which will enable applications of these fascinating protein‐based materials in technical and medical sciences.

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Metadata

Authors
Heim, M., Keerl, D., & Scheibel, T.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2009-04-28
Volume
48
Issue
20
Pages
3584-3596
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2141137083
Cited by
563
References
0
FWCI
11.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Spider Silk: From Soluble Protein to Extraordinary Fiber. https://app.cochat.ai/papers/10.1002/anie.200803341
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Heim, M., Keerl, D., & Scheibel, T. (2009). Spider Silk: From Soluble Protein to Extraordinary Fiber. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200803341

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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.