Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 256

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Long-range protein–water dynamics in hyperactive insect antifreeze proteins

Open access
Meister, Konrad, Ebbinghaus, Simon, Xu, Yao, Duman, John G., DeVries, Arthur, Gruebele, Martin, Leitner, David M., Havenith, Martina·2013·Proceedings of the National Academy of Sciences

Abstract

Antifreeze proteins (AFPs) are specific proteins that are able to lower the freezing point of aqueous solutions relative to the melting point. Hyperactive AFPs, identified in insects, have an especially high ability to depress the freezing point by far exceeding the abilities of other AFPs. In previous studies, we postulated that the activity of AFPs can be attributed to two distinct molecular mechanisms: ( i ) short-range direct interaction of the protein surface with the growing ice face and ( ii ) long-range interaction by protein-induced water dynamics extending up to 20 Å from the protein surface. In the present paper, we combine terahertz spectroscopy and molecular simulations to prove that long-range protein–water interactions make essential contributions to the high antifreeze activity of insect AFPs from the beetle Dendroides canadensis . We also support our hypothesis by studying the effect of the addition of the osmolyte sodium citrate.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.1214911110

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 45 references

Cited by

See all 256

Metadata

Authors
Meister, K., Ebbinghaus, S., Xu, Y., Duman, J. G., DeVries, A., Gruebele, M., Leitner, D. M., & Havenith, M.
Venue
Proceedings of the National Academy of Sciences
Published
2012-12-31
Volume
110
Issue
5
Pages
1617-1622
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2117957872
Cited by
256
References
45
FWCI
13.94
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Long-range protein–water dynamics in hyperactive insect antifreeze proteins. https://app.cochat.ai/papers/10.1073/pnas.1214911110
The paper
Meister, K., Ebbinghaus, S., Xu, Y., Duman, J. G., DeVries, A., Gruebele, M., Leitner, D. M., & Havenith, M. (2013). Long-range protein–water dynamics in hyperactive insect antifreeze proteins. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1214911110

Data sources

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.