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Cited by 1,240

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Peptide-amphiphile nanofibers: A versatile scaffold for the preparation of self-assembling materials

Open access
Hartgerink, Jeffrey D., Beniash, Elia, Stupp, Samuel I.·2002·Proceedings of the National Academy of Sciences

Abstract

Twelve derivatives of peptide-amphiphile molecules, designed to self-assemble into nanofibers, are described. The scope of amino acid selection and alkyl tail modification in the peptide-amphiphile molecules are investigated, yielding nanofibers varying in morphology, surface chemistry, and potential bioactivity. The results demonstrate the chemically versatile nature of this supramolecular system and its high potential for manufacturing nanomaterials. In addition, three different modes of self-assembly resulting in nanofibers are described, including pH control, divalent ion induction, and concentration.

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Crossref · 10.1073/pnas.072699999

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Metadata

Authors
Hartgerink, J. D., Beniash, E., & Stupp, S. I.
Venue
Proceedings of the National Academy of Sciences
Published
2002-04-02
Volume
99
Issue
8
Pages
5133-5138
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2123692136
Cited by
1,240
References
1
FWCI
15.74
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Peptide-amphiphile nanofibers: A versatile scaffold for the preparation of self-assembling materials. https://app.cochat.ai/papers/10.1073/pnas.072699999
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Hartgerink, J. D., Beniash, E., & Stupp, S. I. (2002). Peptide-amphiphile nanofibers: A versatile scaffold for the preparation of self-assembling materials. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.072699999

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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.