The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Multiscale Modelling of Milk Proteins Adsorption on Metallic Iron Surfaces
Open accessPreprint — published as 10.3390/nano13121857
Abstract
Food processing and consumption involves multiple contacts between biological fluids and solid materials of processing devices of which steel is one of the most common. Due to complexity of these interactions, it is difficult to identify the main control factors in the formation of undesirable deposits on the device surfaces that may affect safety and efficiency of the processes. Mechanistic understanding of biomolecule-metal interactions involving food proteins could improve management of these pertinent industrial processes and consumer safety in food industry and beyond. In this work, we perform a multiscale study of formation of protein corona on iron surfaces and nanoparticles in contact with cow milk proteins. By calculating the binding energies of proteins with the substrate we quantify the adsorption strength and rank proteins by the adsorption affinity. We use a multiscale method involving all-atom and coarse-grained simulations as well as generation of 3D structures of the proteins for this purpose. Finally, using the adsorption energy results, we predict the composition of protein corona on iron nanoparticles and flat surfaces via a competitive adsorption model.
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Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Metadata
- Authors
- Mosaddeghi Amini, P., Subbotina, J., & Lobaskin, V.
- Affiliations
- University College Dublin (IE)
- Corresponding author
- Subbotina, Julia
- Lobaskin, Vladimir
- Venue
- Nanomaterials
- Publisher
- MDPI AG
- Published
- 2023-05-24
- Volume
- 13
- Issue
- 12
- Pages
- 1857-1857
- ISSN
- 2079-4991 (ISSN-L)
- PMC
- PMC10304772
- OpenAlex
- W4380840081
- Cited by
- 17
- References
- 1
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 5 · 2023: 3
- FWCI
- 1.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nanomaterials (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Research Repository UCD (University College Dublin) (submittedVersion, cc-by)
- Funders
- European Commission (HORIZON2020, 814572)
- Science Foundation Ireland (814572, 16/IA/4506)
- Irish Centre for High-End Computing
- Topics
- Physical Sciences › Materials Science › Surfaces, Coatings and Films › Polymer Surface Interaction Studies
- Life Sciences › Agricultural and Biological Sciences › Food Science › Proteins in Food Systems
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- iron surfaces, protein corona, cow's milk protein, metal-protein interactions, binding energy, competitive adsorption, iron nanoparticles, coarse-grained simulation, atomistic simulation
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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.