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Formation of Protein Networks between Mucins: Molecular Dynamics Study Based on the Interaction Energy of the System

Author

Listed:
  • Natalia Kruszewska

    (Institute of Mathematics and Physics, UTP University of Science and Technology, Kaliskiego 7, PL-85796 Bydgoszcz, Poland)

  • Piotr Bełdowski

    (Institute of Mathematics and Physics, UTP University of Science and Technology, Kaliskiego 7, PL-85796 Bydgoszcz, Poland)

  • Piotr Weber

    (Atomic and Optical Physics Division, Department of Atomic, Molecular and Optical Physics, Faculty of Applied Physics and Mathematics, Gdańsk University of Technology, G. Narutowicza 11/12, 80-233 Gdańsk, Poland)

  • Steven Yuvan

    (Department of Physics, East Carolina University, Greenville, NC 27858, USA)

  • Marcin Drechny

    (Faculty of Telecommunications, Computer Science and Electrical Engineering, UTP University of Science and Technology, Kaliskiego 7, PL-85796 Bydgoszcz, Poland)

  • Marcin Kośmieja

    (Faculty of Telecommunications, Computer Science and Electrical Engineering, UTP University of Science and Technology, Kaliskiego 7, PL-85796 Bydgoszcz, Poland
    Nokia Solutions and Networks Sp. z o.o., Rodziny Hiszpańskich 8, PL-02685 Warszawa, Poland)

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. The results indicate that the mucin concentration significantly impacts its cross-linking behavior. Between 160 g/L and 214 g/L, there seems to be a critical concentration above which crowding begins to alter intermolecular interactions and their energies. This transition is further supported by the mean squared displacement of the molecules. At a high concentration, the system starts to behave subdiffusively due to network development. We also calculate a sample mean squared displacement and p -variation tests to demonstrate how the statistical nature of the dynamics is likewise altered for different concentrations.

Suggested Citation

  • Natalia Kruszewska & Piotr Bełdowski & Piotr Weber & Steven Yuvan & Marcin Drechny & Marcin Kośmieja, 2019. "Formation of Protein Networks between Mucins: Molecular Dynamics Study Based on the Interaction Energy of the System," Energies, MDPI, vol. 12(18), pages 1-18, September.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:18:p:3448-:d:264904
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    References listed on IDEAS

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    1. Elio A Cino & Mikko Karttunen & Wing-Yiu Choy, 2012. "Effects of Molecular Crowding on the Dynamics of Intrinsically Disordered Proteins," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-12, November.
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