The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Computational Investigation of Interaction between Nanoparticles and Membranes: Hydrophobic/Hydrophilic Effect
Abstract
Understanding the interactions of nanoparticles (NPs) with biological system, especially interactions with cell membranes, is critical for the rational design of nanocarrier agents and drug delivery systems. Here, we have performed coarse-grained molecular dynamics simulations aimed at the effect of hydrophilic/hydrophobic properties of nanoparticles on the interaction with cell membranes (dipalmitoylphosphatidylcholine or DPPC bilayer). Two kinds of nanoparticles (hydrophobic and semihydrophilic) are modeled in the simulation. The results indicate that a hydrophobic nanoparticle can result in the inclusion into the bilayer, whereas a semihydrophilic nanoparticle is only found to adsorb into the membrane. For different system free energy profiles have been calculated to elucidate those phenomena. For the semihydrophilic nanoparticle case, we also discuss the potential substantial energy barrier of particle wrapping, implicating that the endocytosis-like mechanism is an energy-mediated process. The landscapes of the membrane fluctuation in the transitions imply that the deformation of the lipid bilayer induced by the addition of NPs is short-range, and the rearrangement of lipid molecules plays a significant role for morphological variations of NP-containing lipid membrane patches. These results show that the surface hydrophobicity can result in different response mechanisms of NP-biomembrane interactions.
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
Cites
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
Coarse Grained Model for Semiquantitative Lipid Simulations
Marrink, S. J., de Vries, A. H., & Mark, A. E. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp036508g · Cited by 2,257
Lipid–protein interactions in biological membranes: A structural perspective
Lee, A. G. (2003) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/s0005-2736(03)00056-7 · Cited by 886
Cited by
Cellular uptake of nanoparticles: Journey inside the cell
Behzadi, S., Serpooshan, V., Tao, W., Hamaly, M. A., Alkawareek, M. Y., Dreaden, E. C., Brown, D., Alkilany, A. M., Farokhzad, O. C., & Mahmoudi, M. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00636a · Cited by 2,859
The toxicity of nanoparticles and their interaction with cells: an in vitro metabolomic perspective
Awashra, M., & Młynarz, P. (2023) · Nanoscale Advances · doi:10.1039/d2na00534d · Cited by 319
Magnetic Nanoparticles in Targeted Drug Delivery: a Review
kianfar, E. (2021) · Journal of Superconductivity and Novel Magnetism · doi:10.1007/s10948-021-05932-9 · Cited by 280
Smith, D. J., Leal, L. G., Mitragotri, S., & Shell, M. S. (2018) · Journal of Physics D: Applied Physics · doi:10.1088/1361-6463/aacac9 · Cited by 23
Metadata
- Authors
- Li, Y., Chen, X., & Gu, N.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-11-25
- Volume
- 112
- Issue
- 51
- Pages
- 16647-16653
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W1987888610
- Cited by
- 282
- References
- 3
- FWCI
- 2.73
- 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: Computational Investigation of Interaction between Nanoparticles and Membranes: Hydrophobic/Hydrophilic Effect. https://app.cochat.ai/papers/10.1021/jp8051906
- The paper
- Li, Y., Chen, X., & Gu, N. (2008). Computational Investigation of Interaction between Nanoparticles and Membranes: Hydrophobic/Hydrophilic Effect. The Journal of Physical Chemistry B. https://doi.org/10.1021/jp8051906
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.