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Cited by 502

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

The molecular structure of spider dragline silk: Folding and orientation of the protein backbone

Open access
van Beek, J. D., Hess, S., Vollrath, F., Meier, B. H.·2002·Proceedings of the National Academy of Sciences

Abstract

The design principles of spider dragline silk, nature's high-performance fiber, are still largely unknown, in particular for the noncrystalline glycine-rich domains, which form the bulk of the material. Here we apply two-dimensional solid-state NMR to determine the distribution of the backbone torsion angles (φ,ψ) as well as the orientation of the polypeptide backbone toward the fiber at both the glycine and alanine residues. Instead of an “amorphous matrix,” suggested earlier for the glycine-rich domains, these new data indicate that all domains in dragline silk have a preferred secondary structure and are strongly oriented, with the chains predominantly parallel to the fiber. As proposed previously, the alanine residues are predominantly found in a β sheet conformation. The glycine residues are partly incorporated into the β sheets and otherwise form helical structures with an approximate 3-fold symmetry.

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Crossref · 10.1073/pnas.152162299

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Metadata

Authors
van Beek, J. D., Hess, S., Vollrath, F., & Meier, B. H.
Venue
Proceedings of the National Academy of Sciences
Published
2002-07-29
Volume
99
Issue
16
Pages
10266-10271
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2167668845
Cited by
502
References
30
FWCI
10.42
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The molecular structure of spider dragline silk: Folding and orientation of the protein backbone. https://app.cochat.ai/papers/10.1073/pnas.152162299
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van Beek, J. D., Hess, S., Vollrath, F., & Meier, B. H. (2002). The molecular structure of spider dragline silk: Folding and orientation of the protein backbone. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.152162299

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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.