2019
DOI: 10.3390/en12183448
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Formation of Protein Networks between Mucins: Molecular Dynamics Study Based on the Interaction Energy of the System

Abstract: Molecular dynamics simulations have been performed for a model aqueous solution of mucin. As mucin is a central part of lubricin, a key component of synovial fluid, we investigate its ability to form cross-linked networks. Such network formation could be of major importance for the viscoelastic properties of the soft-matter system and crucial for understanding the lubrication mechanism in articular cartilage. Thus, the inter- and intra-molecular interaction energies between the residues of mucin are analyzed. … Show more

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Cited by 1 publication
(2 citation statements)
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“…The synovial fluid surrounding the bilayers contains a lot of different types of molecules that facilitate the lubrication. The most important components and their role in lubrication have been studied before [20,36,37,46]. β2-GP-1 is one of the proteins found in the synovial fluid, and in this paper, we focused on its influence on the behavior of the lipid bilayers present in the synovial fluid: DPPC and POPE.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The synovial fluid surrounding the bilayers contains a lot of different types of molecules that facilitate the lubrication. The most important components and their role in lubrication have been studied before [20,36,37,46]. β2-GP-1 is one of the proteins found in the synovial fluid, and in this paper, we focused on its influence on the behavior of the lipid bilayers present in the synovial fluid: DPPC and POPE.…”
Section: Discussionmentioning
confidence: 99%
“…From the time-dependent MSD, the linear viscoelastic complex shear moduli, G * , of a complex system can be obtained [45]. Each lipid molecule was approximated as a spherical object of radius R g , where R g is the mean radius of gyration computed overall for lipid molecules, as described in Reference [46]. The G * moduli can be obtained using the generalized Stokes-Einstein relation in the Fourier domain:…”
Section: Methodsmentioning
confidence: 99%