The DOI matches its Crossref record.
Water Rotational Relaxation and Diffusion in Hydrated Lysozyme
Abstract
This paper is concerned with the dynamics of water around a small globular protein. Dipolar second-rank relaxation time and diffusion properties of surface water were computed by extensive molecular dynamics simulations of lysozyme in water which lasted a total of 28 ns. Our results indicate that the rotational relaxation of water in the vicinity of lysozyme is 3-7 times slower than that in the bulk depending on how the hydration shell is defined in the calculation. We have also verified that the dynamics of water translational diffusion in the vicinity of lysozyme have retardations similar to rotational relaxation. This is a common assumption in nuclear magnetic relaxation dispersion (NMRD) studies to derive residence times. In contrast to bulk water dynamics, surface water is in a dispersive diffusion regime or subdiffusion. Very good agreement of dipolar second-rank relaxation time with NMRD estimates is obtained by using appropriate dimensions of the hydration shell. Although our computed second-rank dipolar retardations are independent of the water model, SPC/E describes more realistically the time scale of the water dynamics around lysozyme than does TIP3P.
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.
Integrity signals
Registry
Cites
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.
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
Cited by
Biological Water: Femtosecond Dynamics of Macromolecular Hydration
Pal, S. K., Peon, J., Bagchi, B., & Zewail, A. H. (2002) · The Journal of Physical Chemistry B · doi:10.1021/jp0213506 · Cited by 494
Fluidity of Hydration Layers Nanoconfined between Mica Surfaces
Leng, Y., & Cummings, P. T. (2005) · Physical Review Letters · doi:10.1103/physrevlett.94.026101 · Cited by 200
Metadata
- Authors
- Marchi, M., Sterpone, F., & Ceccarelli, M.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-05-15
- Volume
- 124
- Issue
- 23
- Pages
- 6787-6791
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W1968472876
- Cited by
- 239
- References
- 0
- FWCI
- 4.32
- Type
- journal article
- Language
- en
- Open access
- closed
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: Water Rotational Relaxation and Diffusion in Hydrated Lysozyme. https://app.cochat.ai/papers/10.1021/ja025905m
- The paper
- Marchi, M., Sterpone, F., & Ceccarelli, M. (2002). Water Rotational Relaxation and Diffusion in Hydrated Lysozyme. Journal of the American Chemical Society. https://doi.org/10.1021/ja025905m
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.