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Cited by 179

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

Observation of ice-like water layers at an aqueous protein surface

Open access
Meister, Konrad, Strazdaite, Simona, DeVries, Arthur L., Lotze, Stephan, Olijve, Luuk L. C., Voets, Ilja K., Bakker, Huib J.·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: Antifreeze proteins (AFPs) enable the survival of various organisms in freezing or subfreezing habitats by preventing the macroscopic growth of ice crystals. Understanding how AFPs recognize and bind ice crystals is the most important step to unravel their working mechanism. Using surface-specific sum frequency generation spectroscopy, we were able to directly probe the ice-binding site of the protein and discovered that, already at room temperature and in an aqueous solution, the antifreeze proteins arrange water molecules into an ice-like array, which they then use to bind to ice crystals.

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Crossref · 10.1073/pnas.1414188111

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Metadata

Authors
Meister, K., Strazdaite, S., DeVries, A. L., Lotze, S., Olijve, L. L. C., Voets, I. K., & Bakker, H. J.
Venue
Proceedings of the National Academy of Sciences
Published
2014-12-02
Volume
111
Issue
50
Pages
17732-17736
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2004765394
Cited by
179
References
1
FWCI
8.15
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Observation of ice-like water layers at an aqueous protein surface. https://app.cochat.ai/papers/10.1073/pnas.1414188111
The paper
Meister, K., Strazdaite, S., DeVries, A. L., Lotze, S., Olijve, L. L. C., Voets, I. K., & Bakker, H. J. (2014). Observation of ice-like water layers at an aqueous protein surface. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1414188111

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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.