Martini 3 coarse-grained models of the niosomes based on Span60 and Tween60
Journal of Molecular Liquids, ISSN: 0167-7322, Vol: 410, Page: 125624
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Article Description
Sorbitan stearate (span60) and polysorbate 60 (tween60) are surfactants widely used in many industries due to their emulsifying properties. In the present study, we used molecular dynamics (MD) simulations to analyze the stability of niosome bilayers formed by the non-ionic surfactants span60 and tween60 in terms of cholesterol density and temperature. To overcome the length scale limitations of MD simulations, we developed and validated two approximate coarse-grained (CG) models to describe the span60 and tween60 structures using the improved Martini 3 CG model. To verify the accuracy of the theoretical CG model representing the hydrophobic properties of span60 and tween60, we measured the octanol–water partition coefficient and compared the theoretical predictions with experimental outcomes. The consistency between the theoretical and experimental outcomes indicates the accuracy of our theoretical models. The results of this study can be used in research for drug delivery systems based on the niosomes formed by span60 and Tween60.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0167732224016830; http://dx.doi.org/10.1016/j.molliq.2024.125624; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85199940150&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0167732224016830; https://dx.doi.org/10.1016/j.molliq.2024.125624
Elsevier BV
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