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Cited by 671

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Structure of a protein superfiber: spider dragline silk.

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Xu, M, Lewis, R V·1990·Proceedings of the National Academy of Sciences

Abstract

Spider major ampullate (dragline) silk is an extracellular fibrous protein with unique characteristics of strength and elasticity. The silk fiber has been proposed to consist of pseudocrystalline regions of antiparallel beta-sheet interspersed with elastic amorphous segments. The repetitive sequence of a fibroin protein from major ampullate silk of the spider Nephila clavipes was determined from a partial cDNA clone. The repeating unit is a maximum of 34 amino acids long and is not rigidly conserved. The repeat unit is composed of three different segments: (i) a 6 amino acid segment that is conserved in sequence but has deletions of 3 or 6 amino acids in many of the repeats; (ii) a 13 amino acid segment dominated by a polyalanine sequence of 5-7 residues; (iii) a 15 amino acid, highly conserved segment. The latter is predominantly a Gly-Gly-Xaa repeat with Xaa being alanine, tyrosine, leucine, or glutamine. The codon usage for this DNA is highly selective, avoiding the use of cytosine or guanine in the third position. A model for the physical properties of fiber formation, strength, and elasticity, based on this repetitive protein sequence, is presented.

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Metadata

Authors
Xu, M., & Lewis, R. V.
Venue
Proceedings of the National Academy of Sciences
Published
1990-09
Volume
87
Issue
18
Pages
7120-7124
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2088084607
Cited by
671
References
0
FWCI
6.66
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Structure of a protein superfiber: spider dragline silk. https://app.cochat.ai/papers/10.1073/pnas.87.18.7120
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Xu, M., & Lewis, R. V. (1990). Structure of a protein superfiber: spider dragline silk. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.87.18.7120

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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.